📰 Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2017 — accepted papers

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2017 is the 2017 edition of the Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, held in Copenhagen, Denmark, September 2017 (publisher: Association for Computational Linguistics). OpenAlex lists 37 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Explaining Recurrent Neural Network Predictions in Sentiment AnalysisLeila Arras, Grégoire Montavon, Klaus-Robert Müller et al.352 citations
2. WASSA-2017 Shared Task on Emotion IntensitySaif Mohammad, Felipe Bravo-Marquez270 citations · our summary
3. Lexicon Integrated CNN Models with Attention for Sentiment AnalysisBonggun Shin, Timothy Lee, Jinho D. Choi123 citations
4. Investigating Redundancy in Emoji Use: Study on a Twitter Based CorpusGiulia Donato, Patrizia Paggio94 citations
5. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection CorpusHendrik Schuff, Jeremy Barnes, Julian Mohme et al.92 citations · our summary
6. Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled DatasetsAthanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann et al.71 citations
7. Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment DatasetsJeremy Barnes, Roman Klinger, Sabine Schulte im Walde70 citations
8. Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in TweetsPranav Goel, Devang Kulshreshtha, Prayas Jain et al.63 citations
9. IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep LearningMaximilian Köper, Evgeny Kim, Roman Klinger53 citations
10. YNU-HPCC at EmoInt-2017: Using a CNN-LSTM Model for Sentiment Intensity PredictionYou Zhang, Hang Yuan, Jin Wang et al.31 citations

All accepted papers (37)

The most cited first; 3 with our summary link to their page here, the others to the original.

1. Explaining Recurrent Neural Network Predictions in Sentiment AnalysisLeila Arras, Grégoire Montavon, Klaus-Robert Müller et al.352 citations
2. WASSA-2017 Shared Task on Emotion IntensitySaif Mohammad, Felipe Bravo-Marquez270 citations · our summary
3. Lexicon Integrated CNN Models with Attention for Sentiment AnalysisBonggun Shin, Timothy Lee, Jinho D. Choi123 citations
4. Investigating Redundancy in Emoji Use: Study on a Twitter Based CorpusGiulia Donato, Patrizia Paggio94 citations
5. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection CorpusHendrik Schuff, Jeremy Barnes, Julian Mohme et al.92 citations · our summary
6. Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled DatasetsAthanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann et al.71 citations
7. Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment DatasetsJeremy Barnes, Roman Klinger, Sabine Schulte im Walde70 citations
8. Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in TweetsPranav Goel, Devang Kulshreshtha, Prayas Jain et al.63 citations
9. IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep LearningMaximilian Köper, Evgeny Kim, Roman Klinger53 citations
10. YNU-HPCC at EmoInt-2017: Using a CNN-LSTM Model for Sentiment Intensity PredictionYou Zhang, Hang Yuan, Jin Wang et al.31 citations
11. Towards an integrated pipeline for aspect-based sentiment analysis in various domainsOrphée De Clercq, Els Lefever, Gilles Jacobs et al.28 citations
12. Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNNEdison Marrese-Taylor, Jorge Balazs, Yutaka Matsuo25 citations
13. Seernet at EmoInt-2017: Tweet Emotion Intensity EstimatorVenkatesh Duppada, Sushant Hiray25 citations
14. Did you ever read about Frogs drinking Coffee? Investigating the Compositionality of Multi-Emoji ExpressionsRebeca Padilla López, Fabienne Cap19 citations
15. Forecasting Consumer Spending from Purchase Intentions Expressed on Social MediaViktor Pekar, Jane Binner18 citations
16. Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net ApproachKishaloy Halder, Lahari Poddar, Min-Yen Kan18 citations
17. YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN ModelYuanye He, Liang-Chih Yu, K. Robert Lai et al.16 citations
18. GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity DetectionEgor Lakomkin, Chandrakant Bothe, Stefan Wermter9 citations
19. NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in TweetsSreekanth Madisetty, Maunendra Sankar Desarkar9 citations
20. Building a SentiWordNet for OdiaGaurav Mohanty, Abishek Kannan, Radhika Mamidi8 citations
21. IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized FeaturesMd Shad Akhtar, Palaash Sawant, Asif Ekbal et al.8 citations
22. UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word EmbeddingsVineet John, Olga Vechtomova7 citations
23. Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist GroupsMatthias Hartung, Roman Klinger, Franziska Schmidtke et al.6 citations
24. Linguistic Reflexes of Well-Being and Happiness in EchoJiaqi Wu, Marilyn Walker, Pranav Anand et al.5 citations
25. NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion IntensityVladimir Andryushechkin, Ian Wood, James O' Neill5 citations

See all 37 papers in Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis 2017 — accepted papers →

📄 Papers with our summary in our library (3)

The most cited first (OpenAlex citations plus our library's).

1. WASSA-2017 Shared Task on Emotion IntensityWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisSaif Mohammad, Felipe Bravo-Marquez2017 · 369 citations
2. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection CorpusWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisHendrik Schuff, Jeremy Barnes, Julian Mohme, et al.2017 · 129 citations
3. Detecting Sarcasm Using Different Forms Of IncongruityAditya Joshi2017 · 2 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

😊Sentiment & emotion (3)English (1)

📚 Fields

🖥️Computer Science (3)💭Psychology (2)🎭Arts and Humanities (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of StuttgartStuttgart · Germany1 work here🎓Indian Institute of Technology BombayMumbai · India1 work here🏛️National Academies of Sciences, Engineering, and MedicineWashington · United States1 work here🎓IITB-Monash Research AcademyMumbai · India1 work here🏛️National Research Council CanadaOttawa · Canada1 work here🎓University of WaikatoHamilton · New Zealand1 work here🎓Monash UniversityMelbourne · Australia1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/wassa/2017/