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A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Georgios Paltoglou
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Mike Thelwall
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
Sarcasm Detection on Czech and English Twitter
Tomáš Ptáček
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Ivan Habernal
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Jun Hong
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Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis
Haibing Wu
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Xiaodong Gu
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A Joint Segmentation and Classification Framework for Sentiment Analysis
Duyu Tang
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Furu Wei
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Bing Qin
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Li Dong
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Ting Liu
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Ming Zhou
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Document Modeling with Gated Recurrent Neural Network for Sentiment Classification
Duyu Tang
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Bing Qin
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Ting Liu
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Lexicon-Based Methods for Sentiment Analysis
Maite Taboada
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Julian Brooke
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Milan Tofiloski
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Kimberly Voll
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Manfred Stede
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Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews
Jianxing Yu
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Zheng-Jun Zha
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Meng Wang
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Tat-Seng Chua
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Evaluating Sentiment Analysis in the Context of Securities Trading
Siavash Kazemian
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Shunan Zhao
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Gerald Penn
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SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici
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Rahim Dehkharghani
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Berrin Yanikoglu
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Dilek Tapucu
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Yucel Saygin
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TUGAS: Exploiting unlabelled data for Twitter sentiment analysis
Silvio Amir
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Miguel B. Almeida
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Bruno Martins
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João Filgueiras
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Mário J. Silva
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SHELLFBK: An Information Retrieval-based System For Multi-Domain Sentiment Analysis
Mauro Dragoni
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SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
Hussam Hamdan
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Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
Ivan Habernal
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Tomáš Ptáček
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Josef Steinberger
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Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading
Siavash Kazemian
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Shunan Zhao
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Gerald Penn
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Feature Selection for Highly Skewed Sentiment Analysis Tasks
Can Liu
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Sandra Kübler
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Ning Yu
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Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh
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Irina Illina
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Dominique Fohr
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Georges Linarès
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The Social Mood of News: Self-reported Annotations to Design Automatic Mood Detection Systems
Firoj Alam
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Fabio Celli
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Evgeny A. Stepanov
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Arindam Ghosh
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Giuseppe Riccardi
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Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
Konstantinos Skianis
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Fragkiskos Malliaros
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Michalis Vazirgiannis
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An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
Yiou Lin
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Hang Lei
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Jia Wu
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Xiaoyu Li
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http://www.cs.cornell.edu/
http://www.cs.jhu.edu/
http://www.trec.nist.gov
http://ir.dcs.gla.ac.uk/test
http://http://www.nytimes.com/2009/08/24/
Field Of Study
Task
Information Retrieval
Sentiment Analysis
Language
English
Dataset
News
Blogs
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