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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
The main contributions of TweetNLP are: (1) an integrated Python library for a modern toolkit supporting social media analysis using our various task-specific models adapted to the social domain; (2) an  ...  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  ...  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

Multilingual and Multi-Aspect Hate Speech Analysis

Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
In this paper, we present a new multilingual multi-aspect hate speech analysis dataset and use it to test the current state-of-the-art multilingual multitask learning approaches.  ...  Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks.  ...  department of the Hong Kong University of Science and Technology.  ... 
doi:10.18653/v1/d19-1474 dblp:conf/emnlp/OusidhoumLZSY19 fatcat:molbpoy2fffplie233bzlfktg4

Sentiment Analysis of Multilingual Tweets Based on Natural Language Processing (NLP)

Abhijit Bera, Mrinal Kanti Ghose, Dibyendu Kumar Pal
2021 International Journal of System Dynamics Applications  
Multilingual Sentiment analysis plays an important role in a country like India with many languages as the style of expression varies in different languages.  ...  Network followed by another amalgamated model adding a CNN layer on top of the LSTM without worrying about versatility of multilingualism.  ...  , a simple but efficient for Sentiment Analysis of Multilingual Tweets based on Natural Language Processing (NLP) using different classifier of the neural network model such as Simple Neural Network (SNN  ... 
doi:10.4018/ijsda.20211001.oa16 fatcat:bq3wm6dovvhr5emrb3jnmu573u

A Survey of Code-switched Speech and Language Processing [article]

Sunayana Sitaram, Khyathi Raghavi Chandu, Sai Krishna Rallabandi, Alan W Black
2020 arXiv   pre-print
We motivate why processing code-switched text and speech is essential for building intelligent agents and systems that interact with users in multilingual communities.  ...  Code-switching, the alternation of languages within a conversation or utterance, is a common communicative phenomenon that occurs in multilingual communities across the world.  ...  [225] provide a benchmarking dataset to perform sentiment analysis on 3,062 Sentiment Analysis/stance detection English-Spanish tweets.  ... 
arXiv:1904.00784v3 fatcat:r5tsg4kdnfbtnndae523c32pta

On the Processing and Analysis of Microtexts: From Normalization to Semantics

Yerai Doval, David Vilares
2018 Proceedings (MDPI)  
We present an overview of our work on the field of microtext processing covering the entire pipeline: from input preprocessing to high-level text mining applications.  ...  User-generated content published on microblogging social platforms constitutes an invaluable source of information for diverse purposes: health surveillance, business intelligence, political analysis,  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/proceedings2181170 fatcat:pghydzbe45avtm3r4blup2xqxq

Evaluation of Intermediate Pre-training for the Detection of Offensive Language

Segun Taofeek Aroyehun, Alexander F. Gelbukh
2021 Annual Conference of the Spanish Society for Natural Language Processing  
We compare the performance of a pretrained language model adapted for the social media domain and another that was further trained on multilingual sentiment analysis data.  ...  This paper presents an evaluation of intermediate pretraining for the task of offensive language identification.  ...  The authors thank CONACYT for the computer resources provided through the INAOE Supercomputing Laboratory's Deep Learning Platform for Language Technologies.  ... 
dblp:conf/sepln/AroyehunG21 fatcat:dvvacwuuyzgdbaa375hx5bf2py

Text pre-processing of multilingual for sentiment analysis based on social network data

Neha Garg, Kamlesh Sharma
2022 International Journal of Power Electronics and Drive Systems (IJPEDS)  
<span>Sentiment analysis (SA) is an enduring area for research especially in the field of text analysis. Text pre-processing is an important aspect to perform SA accurately.  ...  The proposed article provides an insight of the techniques, that are used for text pre-processing, the impact of their presence on the dataset.  ...  Inaccurate SA or poor level of accuracy in SA may prove to be disastrous for any Int J Elec & Comp Eng ISSN: 2088-8708  Text pre-processing of multilingual for sentiment analysis based on social network  ... 
doi:10.11591/ijece.v12i1.pp776-784 fatcat:irrz5o646nabhggio77ntq6uly

Construction of a Multilingual Annotated Corpus for Deeper Sentiment Understanding in Social Media

Yujie Lu, Kotaro Sakamoto, Hideyuki Shibuki, Tatsunori Mori
2017 Journal of Natural Language Processing  
Third, the models of the expression of feelings in different languages are rather similar, suggesting the possibility of unifying multilingual opinion mining at the sentiment level.  ...  To this end, we construct an annotated corpus for multilingual Twitter sentiment understanding that encompasses three languages (English, Japanese, and Chinese) and four international topics (iPhone 6,  ...  We thank the anonymous reviewers for their valuable comments and helpful suggestions.  ... 
doi:10.5715/jnlp.24.205 fatcat:o64kfevr3ngihmysz7kckofznu

GTH-UPM at TASS 2019: Sentiment Analysis of Tweets for Spanish Variants

Ignacio González Godino, Luis Fernando D'Haro
2019 Annual Conference of the Spanish Society for Natural Language Processing  
GTH-UPM) for the competition on sentiment analysis in tweets: TASS 2019.  ...  The final system obtained an averaged F1 of 48.0% and 48.4% for the dev set on the mono and cross tasks respectively, 46.0% and 45.0% for the mono and cross tasks for the test set.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan X Pascal GPU used for this research.  ... 
dblp:conf/sepln/GodinoD19 fatcat:z7betqkbkzcddkqvrmcgmesry4

Overview of TASS 2016

Miguel Ángel García Cumbreras, Julio Villena-Román, Eugenio Martínez Cámara, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña López
2016 Annual Conference of the Spanish Society for Natural Language Processing  
Acknowledgements This work has been partially supported by a grant from the Fondo Europeo of Desarrollo Regional (FEDER) and REDES project (TIN2015-65136-C2-1-R) from the Spanish Government.  ...  Although SA is not a new task, it is still challenging, because the state of the art has not yet resolved some problems related to multilingualism, domain adaptation, text genre adaptation and polarity  ...  Twitter JACERONG at TASS 2016: jacerong An Ensemble Classifier for Sentiment Analysis of Spanish Tweets at Global Level LABDA at the 2016 TASS LABDA challenge task: using word embedding for the sentiment  ... 
dblp:conf/sepln/CumbrerasVCDML16 fatcat:e62327q4z5eg7pdvrpzmjaay3m

Machine Translation for Machines: the Sentiment Classification Use Case

amirhossein tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
a natural language processing component designed for a specific downstream task (a "machine-oriented" criterion).  ...  Moreover, our results on both languages approximate the classification accuracy computed on gold standard English tweets.  ...  and MO-Reinforce at each epoch of the adaptation process.  ... 
doi:10.18653/v1/d19-1140 dblp:conf/emnlp/TebbifakhrBNT19 fatcat:36dgzpt22fbhlk5sqyggx47uyq

From Recurrency to Attention in Opinion Analysis: Comparing RNN vs Transformer Models

Rosa María Montañes-Salas, Rafael del-Hoyo-Alonso, Rocío Aznar-Gimeno
2019 Annual Conference of the Spanish Society for Natural Language Processing  
This paper describes the participation of ITAINNOVA at the Sentiment Analysis in Twitter task (TASS) framed within the new evaluation forum IberLEF (Iberian Languages Evaluation Forum).  ...  This work explores two different Deep Learning approaches, validating their performance on both subtasks (Monolingual and Crosslingual Sentiment Analysis).  ...  We also thank the support of the FSE Operative Programme for Aragon 2014-2020 (IODIDE research group).  ... 
dblp:conf/sepln/Montanes-Salasd19 fatcat:mbqy77c4a5hsxk734gjhnixtqi

Resources for Turkish Natural Language Processing: A critical survey [article]

Çağrı Çöltekin, A. Seza Doğruöz, Özlem Çetinoğlu
2022 arXiv   pre-print
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. We review a broad range of resources, focusing on the ones that are publicly available.  ...  In addition to providing information about the available linguistic resources, we present a set of recommendations, and identify gaps in the data available for conducting research and building applications  ...  Sentiment, emotion and other application-specific lexicons Emotion and sentiment lexicons play an important part for emotion and sentiment analysis approaches.  ... 
arXiv:2204.05042v2 fatcat:7guyblz5pnaa5l6ehcwij4qyoq

Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation

Luis Chiruzzo, Santiago Castro, Mathías Etcheverry, Diego Garat, Juan José Prada, Aiala Rosá
2019 Annual Conference of the Spanish Society for Natural Language Processing  
A total of 18 participants submitted their systems obtaining good results overall, we present a summary of their systems and the general results for both subtasks.  ...  This paper presents the results of the HAHA task at IberLEF 2019, the second edition of the challenge on automatic humor recognition and analysis in Spanish.  ...  BLAIR GMU [31] used the multilingual cased pre-trained BERT-base [18] .  ... 
dblp:conf/sepln/ChiruzzoCEGPR19 fatcat:7qzovt4ihvalfn6wsewbakla2u

Analyzing sentiment dynamics from sparse text coronavirus disease-19 vaccination using natural language processing model

Jalaja Govindappa, Kavitha Channegowda
2022 International Journal of Power Electronics and Drive Systems (IJPEDS)  
The proposed model is developed considering phase-by-phase data analysis process, followed by an assessment of important information about the collected tweets on coronavirus disease (COVID-19) vaccine  ...  The proposed study considers a case study of coronavirus (COVID) vaccination to conclude public opinions about prospects for vaccination.  ...  Hence, the adaptiveness of the proposed model.  ... 
doi:10.11591/ijece.v12i4.pp4054-4066 fatcat:yoh2b5ae7fglpgyjwwlyr7vzgi
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