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Sentiment Analysis in Czech Social Media Using Supervised Machine Learning

Ivan Habernal, Tomás Ptácek, Josef Steinberger
2013 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
This article provides an in-depth research of machine learning methods for sentiment analysis of Czech social media.  ...  We tackle this issue and establish a common ground for further research by providing a large humanannotated Czech social media corpus.  ...  Conclusion This article presented an in-depth research of supervised machine learning methods for sentiment analysis of Czech social media.  ... 
dblp:conf/wassa/HabernalPS13 fatcat:u23r52lywjak7mov5dqxszfwaa

Aspect-Level Sentiment Analysis in Czech

Josef Steinberger, Tomáš Brychcín, Michal Konkol
2014 Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis  
This paper presents a pioneering research on aspect-level sentiment analysis in Czech.  ...  The main contribution of the paper is the newly created Czech aspectlevel sentiment corpus, based on data from restaurant reviews.  ...  Introduction The interest in sentiment analysis (SA) is increasing with the amount of easily accessible content on the web, especially from the social media.  ... 
doi:10.3115/v1/w14-2605 dblp:conf/wassa/SteinbergerBK14 fatcat:litdkwfeknbvdlk4r3unajszsy

Neural Network Based Context Sensitive Sentiment Analysis

S. Suruthi, M. Pradeeba, A. Sumaiya, J.I Sheeba
2015 International Journal of Computer Applications Technology and Research  
The conversation and the posts available in social media are unstructured in nature. So sentiment analysis will be a challenging work in this platform.  ...  Social media communication is evolving more in these days.  ...  In Sentiment analysis in Czech social media using supervised machine learning describes in-depth research on machine learning methods for sentiment analysis of Czech social media.  ... 
doi:10.7753/ijcatr0403.1004 fatcat:ozmn7oxktrghlgic4mgqb4pnga

Social Media Marketing – Analysis of Online presence of Slovak banks

Tomas Feige
2013 Journal of Systems Integration  
Paper focuses on areas of Social Media Marketing and Social Network Analysis.  ...  This project was aimed at general analysis of online presence of Slovak banks, uncovering the structure of various channels and forms of bank-customer interaction and identifying key actors in banks social  ...  on areas of Social Media Marketing and Social Network Analysis.  ... 
doaj:9ef51a2bd2ab458eb208d3f62da68733 fatcat:dxwg6ijgnfcf3gvefgzqik7pgy

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques

Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y. A. Hawalah, Alexander Gelbukh, Qiang Zhou
2016 Cognitive Computation  
., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively.  ...  We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data.  ...  [23] proposed an approach for supervised sentiment analysis in social media for the Czech language.  ... 
doi:10.1007/s12559-016-9415-7 pmid:27563360 pmcid:PMC4981629 fatcat:pr63qqnvazfjll6bakqtlupfj4

Comparison of Czech Transformers on Text Classification Tasks [article]

Jan Lehečka, Jan Švec
2021 arXiv   pre-print
In this paper, we present our progress in pre-training monolingual Transformers for Czech and contribute to the research community by releasing our models for public.  ...  Since the multilingual models are usually pre-trained from 100+ languages, most of low-resourced languages (including Czech) are under-represented in these models.  ...  It is also a frequent phenomenon (especially in social media domain), that people are writing posts in a common (spoken) Czech, which is extraordinarily different from literary (standard) Czech, used e.g  ... 
arXiv:2107.10042v1 fatcat:qo2dob2x7fdclfl3a54qg4p6ki

Sarcasm Detection on Czech and English Twitter

Tomás Ptácek, Ivan Habernal, Jun Hong
2014 International Conference on Computational Linguistics  
in Czech (F-measure 0.582).  ...  Although there has been some research in sarcasm detection in languages other than English (e.g., Dutch, Italian, and Brazilian Portuguese), our work is the first attempt at sarcasm detection in the Czech  ...  Introduction Sentiment analysis on social media has been one of the most targeted research topics in NLP in the past decade, as shown in several recent surveys (Liu and Zhang, 2012; Tsytsarau and Palpanas  ... 
dblp:conf/coling/PtacekHH14 fatcat:32lyqr5phfeqpgc4f7f2qqqs6y

A Literature Review on Application of Sentiment Analysis Using Machine Learning Techniques

Anvar Shathik J, Krishna Prasad K
2020 Zenodo  
Many businesses are using social media networks to deliver different services and connect with clients and collect information about the thoughts and views of individuals.  ...  In light of this, this literature review explores and discusses the idea of Sentiment analysis by undertaking a systematic review and assessment of corporate and community white papers, scientific research  ...  The researchers targeted sentiment analysis in Czech.  ... 
doi:10.5281/zenodo.3977576 fatcat:djsvzgiypnfibcvj6swo3pw75u

Zrec.org - Psychosocial Phenomena Studies in Cyberspace

Martin Pavlícek, Tomás Filip, Petr Sosík
2020 Conference on Theory and Practice of Information Technologies  
As a practical example, we include an analysis of data obtained from 689 days collection from sources targeting Czech population.  ...  The text discusses selected methods of soft computing which can be effectively and prospectively used for data collection, information extraction, aspectbased sentiment analysis, monitoring phenomena of  ...  Acknowledgements This work was supported by the Ministry of Education, Youth and Sports Of the Czech Republic from the National Programme of Sustainability (NPU II) project IT4Innovations Excellence in  ... 
dblp:conf/itat/PavlicekFS20 fatcat:wu7jfvdlifhsvkrok5zxf6aq3i

Bi-Lingual (English, Punjabi) Sarcastic Sentiment Analysis by using Classification Methods

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
The data on social media is available in various languages so sentiment analysis in regional languages is also a main step . In the proposed work we focus on two languages i.e Punjabi and English.  ...  Sentiment analysis is one of the heated topic in the field of text mining.  ...  So now-a -days SA (sentiment analysis) on social media data became the hot button issue.  ... 
doi:10.35940/ijitee.i8053.078919 fatcat:c2jdc72kxfeexelqkvdjzfmmuu

Sarcasm Detection: A Comparative Study [article]

Hamed Yaghoobian, Hamid R. Arabnia, Khaled Rasheed
2021 arXiv   pre-print
Thus far, three main paradigm shifts have occurred in the way researchers have approached this task: 1) semi-supervised pattern extraction to identify implicit sentiment, 2) use of hashtag-based supervision  ...  However, the figurative and creative nature of sarcasm poses a great challenge for affective computing systems performing sentiment analysis.  ...  In Proceedings of the 7th workshop on computational approaches to subjectivity, sentiment and social media analysis, pages 161-169. Aniruddha Ghosh and Tony Veale. 2017.  ... 
arXiv:2107.02276v2 fatcat:2tgpyhchbngpnnhj3sezmj4hle

Language-Independent Sentiment Analysis with Surrounding Context Extension [chapter]

Tomáš Kincl, Michal Novák, Jiří Přibil, Pavel Štrach
2015 Lecture Notes in Computer Science  
Expressing attitudes and opinions towards various entities (i.e. products, companies, people and events) has become pervasive with the recent proliferation of social media.  ...  This paper aims to contribute to this field and introduces an experiment utilizing a language-and domain-independent model for sentiment analysis.  ...  The second group of approaches to sentiment analysis is based on (supervised) machine learning [5] . Such methods usually require labeled training set to build the classifier [6] .  ... 
doi:10.1007/978-3-319-20367-6_17 fatcat:rkv4kpixmngp7ope7l2tawr73m

Analysis of the social networking sites and the machine learning
Анализ социальных сетей и машинное обучение

М Г Хачатрян, П И Чепик
2018 Politechnical student journal  
Sentiment analysis in Czech social media using super-vised machine learning. Proc. 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis.  ...  How does machine learning improve social media analysis?  ...  We briefly consider the principal directions of the social networking sites analysis and set out the objectives of this analysis and some tasks in these directions.  ... 
doi:10.18698/2541-8009-2018-2-249 fatcat:kkghdqwnrrhtxi2ghsjyokz6fq

Unsupervised Methods to Improve Aspect-Based Sentiment Analysis in Czech

Tomáš Hercig, Tomáš Brychcín, Lukáš Svoboda, Michal Konkol, Josef Steinberger
2016 Journal of Computacion y Sistemas  
We examine the effectiveness of several unsupervised methods for latent semantics discovery as features for aspect-based sentiment analysis (ABSA).  ...  In our experiments we use labeled and unlabeled corpora within the restaurants domain for two languages: Czech and English.  ...  Aspect-level sentiment analysis in czech.  ... 
doi:10.13053/cys-20-3-2469 fatcat:lxdgiyirhjd23j6cwysrv4lcee

TweetNLP: Cutting-Edge Natural Language Processing for Social Media [article]

Jose Camacho-Collados and Kiamehr Rezaee and Talayeh Riahi and Asahi Ushio and Daniel Loureiro and Dimosthenis Antypas and Joanne Boisson and Luis Espinosa-Anke and Fangyu Liu and Eugenio Martínez-Cámara and Gonzalo Medina and Thomas Buhrmann and Leonardo Neves and Francesco Barbieri
2022 arXiv   pre-print
TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and named entity recognition, as well as social media-specific tasks such as emoji prediction and  ...  In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media.  ...  Acknowledgements We acknowledge the support of UKRI (in particular the UKRI Future Leaders Fellowship scheme), Snap Inc., the Cardiff University Innovation for All scheme and the R&D&I grant PID2020-116118GA-I00  ... 
arXiv:2206.14774v2 fatcat:6wo2umxow5f73jlz4xuzmaakc4
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