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Learning Word Embeddings from the Portuguese Twitter Stream: A Study of some Practical Aspects [article]

Pedro Saleiro, Luís Sarmento, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira
<span title="2017-09-04">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper describes a preliminary study for producing and distributing a large-scale database of embeddings from the Portuguese Twitter stream.  ...  Using a single GPU, we were able to scale up vocabulary size from 2048 words embedded and 500K training examples to 32768 words over 10M training examples while keeping a stable validation loss and approximately  ...  Acknowledgements We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.00947v1">arXiv:1709.00947v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vwfu7cunpbattmwdqgp54ukone">fatcat:vwfu7cunpbattmwdqgp54ukone</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928032207/https://arxiv.org/pdf/1709.00947v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e5/a8/e5a8840e17835658581bc40b1e45b4210f04bcfb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.00947v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
<span title="2014-09-25">2014</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5ptshywu7rdklpcx3m6sfans3e" style="color: black;">SIGKDD Explorations</a> </i> &nbsp;
In this paper, we provide some pioneer analysis on Tumblr from a variety of aspects.  ...  ABSTRACT With the inception of the Twitter microblogging platform in 2006, a myriad of research efforts have emerged studying different aspects of the Twittersphere.  ...  on the challenges in stream mining.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2674026.2674028">doi:10.1145/2674026.2674028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y3bozzeohveibgxb5wmiwfcogm">fatcat:y3bozzeohveibgxb5wmiwfcogm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830072737/http://www.kdd.org/exploration_files/16-1-2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2674026.2674028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

LanideNN: Multilingual Language Identification on Text Stream

Tom Kocmi, Ondřej Bojar
<span title="">2017</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o3r3buwoongbbjvsatp4bckpxm" style="color: black;">Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers</a> </i> &nbsp;
In language identification, a common first step in natural language processing, we want to automatically determine the language of some input text.  ...  We aim one step further and propose a method for textual language identification where languages can change arbitrarily and the goal is to identify the spans of each of the languages.  ...  In practice, several tools are often used at once, 1 https://github.com/CLD2Owners/cld2 with some form of majority voting.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/e17-1087">doi:10.18653/v1/e17-1087</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/eacl/BojarK17.html">dblp:conf/eacl/BojarK17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qhsgm422abgv5cungkelsomsyq">fatcat:qhsgm422abgv5cungkelsomsyq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180605121148/http://aclweb.org/anthology/E17-1087" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/95/34/95347ac662266e1a22b46da94a793588f1963d5e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.18653/v1/e17-1087"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Making sense of social media streams through semantics: A survey

Kalina Bontcheva, Dominic Rout
<span title="">2014</span> <i title="IOS Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pcapks3huberdozbvfqowysuly" style="color: black;">Semantic Web Journal</a> </i> &nbsp;
This paper defines five key research questions in this new application area, examined through a survey of state-of-the-art approaches for mining semantics from social media streams; user, network, and  ...  The survey includes key methods not just from the Semantic Web research field, but also from the related areas of natural language processing and user modelling.  ...  of Twitter and Facebook messages and for proof-reading the paper.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-130110">doi:10.3233/sw-130110</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uytdbegs3ngcbpu62i4trrxjni">fatcat:uytdbegs3ngcbpu62i4trrxjni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170517022937/http://semantic-web-journal.org:80/sites/default/files/swj303_0.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b4/4c/b44c2b0f2dfecbec53e4cc2165565af4e2ac6a19.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3233/sw-130110"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Social Media Text Processing and Semantic Analysis for Smart Cities [article]

João Filipe Figueiredo Pereira
<span title="2017-09-11">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Results are in line with research work in other application areas by showing the robustness of using word embeddings to learn word similarities that bag-of-words is not able to capture.  ...  We then use a combination of bag-of-embeddings and traditional bag-of-words to train travel-related classifiers in both Portuguese and English to filter travel-related content from non-related.  ...  Acknowledgements First of all, my deep gratitude to my friends for being on my side when I was a bit down.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.03406v1">arXiv:1709.03406v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/styrizf3k5caxoh33xqaonkpye">fatcat:styrizf3k5caxoh33xqaonkpye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930115114/https://arxiv.org/pdf/1709.03406v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2e/db/2edb4e9634319c9e173955036e8ac1aa52120af7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1709.03406v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Entity Retrieval and Text Mining for Online Reputation Monitoring [article]

Pedro Saleiro
<span title="2018-01-23">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As such, we propose the inclusion of entity retrieval capabilities as a first step towards the extension of current ORM capabilities.  ...  In practice, current ORM methods are constrained to the generation of data analytics reports, which aggregate statistics of popularity and sentiment on social media.  ...  Furthermore, we presented a study of the practical aspects of learning word embeddings from the Twitter stream.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.07743v1">arXiv:1801.07743v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f56lljaavnd6zm4vnngs2m3tga">fatcat:f56lljaavnd6zm4vnngs2m3tga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191017135431/https://arxiv.org/pdf/1801.07743v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/fc/fffc938c2b36d2a8b9493d133c1fa79b7f743d72.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1801.07743v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Cyberbullying Detection with Fairness Constraints [article]

Oguzhan Gencoglu
<span title="2020-09-29">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
While numerous computational studies focus on enhancing the cyberbullying detection performance of machine learning algorithms, proposed models tend to carry and reinforce unintended social biases.  ...  In this study, we try to answer the research question of "Can we mitigate the unintended bias of cyberbullying detection models by guiding the model training with fairness constraints?".  ...  In natural language processing, unintended biases emerge from bias in datasets, bias in distributed word embeddings (e.g. word2vec, GloVe), bias in contextual word embeddings (e.g.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.06625v2">arXiv:2005.06625v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xsyci5a3pjbjje37o7wwdy6nrq">fatcat:xsyci5a3pjbjje37o7wwdy6nrq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201005163638/https://arxiv.org/pdf/2005.06625v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2005.06625v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

High-level Approaches to Detect Malicious Political Activity on Twitter [article]

Miguel Sozinho Ramalho
<span title="2021-02-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The analyzed time period stretches from August 2019 to May 2020, with a focus on the Portuguese elections of October 6th, 2019.  ...  We designed and implemented a framework -- Twitter Watch -- that performs structured Twitter data collection, applying it to the Portuguese Twittersphere.  ...  from a set of relevant words.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.04293v1">arXiv:2102.04293v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/35qft6sxtneovpdz6iw6o7roy4">fatcat:35qft6sxtneovpdz6iw6o7roy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210211015513/https://arxiv.org/ftp/arxiv/papers/2102/2102.04293.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/65/0a/650a50da928748866fe6f12c9873fece9615a6e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.04293v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The Secret Lives of Names? Name Embeddings from Social Media [article]

Junting Ye, Steven Skiena
<span title="2019-05-12">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
As a test case to show the power of name embeddings, we investigate the modeling of lifespans.  ...  These were previously hidden to demographic models, and may help to enhance the predictive power of a wide class of research studies.  ...  Any conclusions expressed in this material are of the authors' and do not necessarily reflect the views, either expressed or implied, of the funding party.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.04799v1">arXiv:1905.04799v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eqn2ej3ambgetpujn2oedf7yqu">fatcat:eqn2ej3ambgetpujn2oedf7yqu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200911170833/https://arxiv.org/pdf/1905.04799v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/79/54793d64bad94f88b4c12537db369d35233ebe47.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1905.04799v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An Enhanced Feature Acquisition for Sentiment Analysis of English and Hausa Tweets

Amina Imam Abubakar, Abubakar Roko, Aminu Muhammad Bui, Ibrahim Saidu
<span title="">2021</span> <i title="The Science and Information Organization"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2yzw5hsmlfa6bkafwsibbudu64" style="color: black;">International Journal of Advanced Computer Science and Applications</a> </i> &nbsp;
Similarly, by using features drawn from multiple languages, we can construct machine learning classifiers with an average precision of over 65%.  ...  However, the majority of research efforts are devoted to English and Arabic, English and German, English and French languages, while a great share of information is available in other languages such as  ...  and English word embedding methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2021.0120913">doi:10.14569/ijacsa.2021.0120913</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dndb3o7vnvgozeqvr2nyj6uc5q">fatcat:dndb3o7vnvgozeqvr2nyj6uc5q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211015235139/https://thesai.org/Downloads/Volume12No9/Paper_13-An_Enhanced_Feature_Acquisition_for_Sentiment_Analysis.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/01/99/01994c8c11edc51269f35bfbfdcd522c81752ca2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14569/ijacsa.2021.0120913"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Summarization of UGC [chapter]

<span title="2014-01-28">2014</span> <i title="Chapman and Hall/CRC"> Mining User Generated Content </i> &nbsp;
Acknowledgements: This work was supported by funding from the Engineering and Physical Sciences Research Council (grant EP/I004327/1).  ...  We believe that summarisation for Twitter and similar online social networks is a problem of the utmost practical relevance.  ...  This abstractive summarisation method, called multi-aspect sentiment model, assigns words from the reviews to aspects using a topic model, coupled with aspect-specific maximum entropy classifiers which  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1201/b16413-22">doi:10.1201/b16413-22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6umoamubbjf53etlz2lyvvbtoa">fatcat:6umoamubbjf53etlz2lyvvbtoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200709230306/https://cordis.europa.eu/docs/projects/cnect/3/287863/080/deliverables/001-D411AnnexsummarisationugcchapterARES20121645996.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/28/c3/28c3fef93f6bed4ffc1b202bee7f93dc186c44a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1201/b16413-22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response

Sophie Jordan, Sierra Hovet, Isaac Fung, Hai Liang, King-Wa Fu, Zion Tse
<span title="2018-12-29">2018</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/73aeke3k45ddlpuyeivcdlmtmu" style="color: black;">Data</a> </i> &nbsp;
While comparing studies is difficult due to the number of different methods that have been used for applying Twitter and interpreting data, this state-of-the-art review demonstrates the vast potential  ...  A literature review is presented on the use of mining Twitter data or similar short-text datasets for public health applications.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/data4010006">doi:10.3390/data4010006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7zcd5nnnbbewjiyr2qlh4fieia">fatcat:7zcd5nnnbbewjiyr2qlh4fieia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190501223450/https://res.mdpi.com/data/data-04-00006/article_deploy/data-04-00006.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/97/9c/979ccc4283b012611e1b7a78c47d6121fe7dcef8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/data4010006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020 [article]

Thayer Alshaabi, David R. Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
<span title="2021-03-09">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter.  ...  We find that for the most common languages on Twitter there is a growing tendency, though not universal, to retweet rather than share new content.  ...  Recent advances in word embeddings powered by deep learning demonstrate some of the greatest breakthroughs across many NLP tasks including LID. Unlike previous methodologies, Devlin et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.03667v8">arXiv:2003.03667v8</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3cru7dopjbfxfbrroi3yuymnne">fatcat:3cru7dopjbfxfbrroi3yuymnne</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210313023555/https://arxiv.org/pdf/2003.03667v8.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fe/1c/fe1cc93eef04bfa608849478fb0289b73402b079.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.03667v8" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

Thayer Alshaabi, David Rushing Dewhurst, Joshua R. Minot, Michael V. Arnold, Jane L. Adams, Christopher M. Danforth, Peter Sheridan Dodds
<span title="2021-03-31">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/63pnypuhi5fehog53lylgzct3q" style="color: black;">EPJ Data Science</a> </i> &nbsp;
AbstractWorking from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter.  ...  We find that for the most common languages on Twitter there is a growing tendency, though not universal, to retweet rather than share new content.  ...  Acknowledgements The authors are grateful for the computing resources provided by the Vermont Advanced Computing Core and financial support from the Massachusetts Mutual Life Insurance Company and Google  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1140/epjds/s13688-021-00271-0">doi:10.1140/epjds/s13688-021-00271-0</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33816048">pmid:33816048</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8010293/">pmcid:PMC8010293</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6atoj74ldvgxvfjahssmzxjfha">fatcat:6atoj74ldvgxvfjahssmzxjfha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210501142752/https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-021-00271-0.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/f9/78f911a31f19affd5228f8c68777594a012bed92.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1140/epjds/s13688-021-00271-0"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010293" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Comprehensive Review on Summarizing Financial News Using Deep Learning [article]

Saurabh Kamal, Sahil Sharma
<span title="2021-09-21">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Another factor on which investors can make investment decisions is through sentiment analysis of news headlines, the sole purpose of this study.  ...  Natural Language Processing techniques are typically used to deal with such a large amount of data and get valuable information out of it.  ...  The dataset used in this particular study contains 4516 Portuguese tweets regarding the main index of the BOVESPA.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2109.10118v1">arXiv:2109.10118v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hjvzbfguvbaxph7iqhliwadhvu">fatcat:hjvzbfguvbaxph7iqhliwadhvu</a> </span>
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