8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017: Proceedings of the Workshop

Alexandra Balahur Dobrescu; Saif M. Mohammad; Erik van der Goot

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8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017: Proceedings of the Workshop

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Información General

Autores: Alexandra Balahur Dobrescu (ed. lit.), Saif M. Mohammad (ed. lit.), Erik van der Goot (ed. lit.)
Editores: The Association for Computational Linguistics
Año de publicación: 2017
País: Estados Unidos
Idioma: inglés
ISBN: 978-1-945626-95-1
Recoge los contenidos presentados a: Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (8. 2017. Copenhagen).
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Identificadores de libro

Citas a capítulos: 1 Citas

Listado de artículos

- Detecting Sarcasm Using Different Forms Of Incongruity
  Aditya Joshi
  - Resumen
  - Texto completo
  pág. 1
- Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
  Jeremy Claude Barnes, Roman Klinger, Sabine Schulte im Walde
  - Resumen
  - Texto completo
  págs. 2-12
- Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
  Hendrik Schuff, Jeremy Claude Barnes, Julian Mohme, Sebastian Padó, Roman Klinger
  - Resumen
  - Texto completo
  págs. 13-23
- Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups
  Matthias Hartung, Roman Klinger, Franziska Schmidtke, Lars Vogel
  - Resumen
  - Texto completo
  págs. 24-33
- WASSA-2017 Shared Task on Emotion Intensity
  Saif M. Mohammad, Felipe Bravo-Márquez
  - Resumen
  - Texto completo
  págs. 34-49
- IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
  Maximilian Köper, Evgeny Kim, Roman Klinger
  - Resumen
  - Texto completo
  págs. 50-57
- Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets
  Pranav Goel, Devang Kulshreshtha, Prayas Jain, K. K. Shukla
  - Resumen
  - Texto completo
  págs. 58-65
- Latest News in Computational Argumentation: Surfing on the Deep Learning Wave, Scuba Diving in the Abyss of Fundamental Questions
  Iryna Gurevych
  - Resumen
  - Texto completo
  pág. 66
- Towards Syntactic Iberian Polarity Classification
  David Vilares Calvo, Marcos García González, Miguel Á. Alonso, Carlos Gómez Rodríguez
  - Resumen
  - Texto completo
  págs. 67-73
- Toward Stance Classification Based on Claim Microstructures
  Filip Boltužić, Jan Šnajder
  - Resumen
  - Texto completo
  págs. 74-80
- Linguistic Reflexes of Well-Being and Happiness in Echo
  Jiaqi Wu, Marilyn A. Walker, Pranav Anand, Steve Whittaker
  - Resumen
  - Texto completo
  págs. 81-91
- Forecasting Consumer Spending from Purchase Intentions Expressed on Social Media
  Viktor Pekar, Jane M. Binner
  - Resumen
  - Texto completo
  págs. 92-101
- Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN
  Edison Marrese-Taylor, Jorge A. Balazs, Yutaka Matsuo
  - Resumen
  - Texto completo
  págs. 102-111
- Understanding human values and their emotional effect
  Alexandra Balahur Dobrescu
  - Resumen
  - Texto completo 1 2
  pág. 112
- Did you ever read about Frogs drinking Coffee? Investigating the Compositionality of Multi-Emoji Expressions
  Rebeca Padilla López, Fabienne Cap
  - Resumen
  - Texto completo
  págs. 113-117
- Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus
  Giulia Donato, Patrizia Paggio
  - Resumen
  - Texto completo
  págs. 118-126
- Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach
  Kishaloy Halder, Lahari Poddar, Min-Yen Kan
  - Resumen
  - Texto completo
  págs. 127-135
- Towards an integrated pipeline for aspect-based sentiment analysis in various domains
  Orphée De Clercq, Els Lefever, Gilles Jacobs, Tijl Carpels, Véronique Hoste
  - Resumen
  - Texto completo
  págs. 136-142
- Building a SentiWordNet for Odia
  Gaurav Mohanty, Abishek Kannan, Radhika Mamidi
  - Resumen
  - Texto completo
  págs. 143-148
- Lexicon Integrated CNN Models with Attention for Sentiment Analysis
  Bonggun Shin, Timothy Lee, Jinho D. Choi
  - Resumen
  - Texto completo
  págs. 149-158
- Explaining Recurrent Neural Network Predictions in Sentiment Analysis
  Leila Arras, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
  - Resumen
  - Texto completo
  págs. 159-168
- GradAscent at EmoInt-2017: Character and Word Level Recurrent Neural Network Models for Tweet Emotion Intensity Detection
  Egor Lakomkin, Chandrakant Bothe, Stefan Wermter
  - Resumen
  - Texto completo
  págs. 169-174
- NUIG at EmoInt-2017: BiLSTM and SVR Ensemble to Detect Emotion Intensity
  Vladimir Andryushechkin, Ian David Wood, James O’Neill
  - Resumen
  - Texto completo
  págs. 175-179
- Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets
  Athanasios Giannakopoulos, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl
  - Resumen
  - Texto completo
  págs. 180-188
- PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets
  Henrique D. P. dos Santos, Renata Vieira
  - Resumen
  - Texto completo
  págs. 189-192
- Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets
  Hardik Meisheri, Rupsa Saha, Priyanka Sinha (comp.), Lipika Dey
  - Resumen
  - Texto completo
  págs. 193-199
- YNU-HPCC at EmoInt-2017: Using a CNN-LSTM Model for Sentiment Intensity Prediction
  You Zhang, Hang Yuan, Jin Wang, Xuejie Zhang
  - Resumen
  - Texto completo
  págs. 200-204
- Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
  Venkatesh Duppada, Sushant Hiray
  - Resumen
  - Texto completo
  págs. 205-211
- IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized
  Md Shad Akhtar, Palaash Sawant, Asif Ekbal, Jyoti Pawar, Pushpak Bhattacharyya
  - Resumen
  - Texto completo
  págs. 212-218
- NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets
  Sreekanth Madisetty, Maunendra Sankar Desarkar
  - Resumen
  - Texto completo
  págs. 219-224
- Tecnolengua Lingmotif at EmoInt-2017: A lexicon-based approach
  Antonio Moreno Ortiz
  - Resumen
  - Texto completo
  págs. 225-232
- EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity
  Edison Marrese-Taylor, Yutaka Matsuo
  - Resumen
  - Texto completo
  págs. 233-237
- YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model
  Yuanye He, Liang-Chih Yu, K. Robert Lai, Weiyi Liu
  - Resumen
  - Texto completo
  págs. 238-242
- DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method
  Xiaotian Han, Song Jiang
  - Resumen
  - Texto completo
  págs. 243-248
- UWat-Emote at EmoInt-2017: Emotion Intensity Detection using Affect Clues, Sentiment Polarity and Word Embeddings
  Vineet John, Olga Vechtomova
  - Resumen
  - Texto completo
  págs. 249-254
- LIPN-UAM at EmoInt-2017: Combination of Lexicon-based features and Sentence-level Vector Representations for Emotion Intensity Determination
  Davide Buscaldi, Ángeles Belém Priego
  - Resumen
  - Texto completo
  págs. 255-258
- deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets
  R. Vinayakumar, B. Premjith, S. Sachin Kumar, K.P. Soman, Prabaharan Poornachandran
  - Resumen
  - Texto completo
  págs. 259-263

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