Front matter
[pdf] [bib]
|
pages |
Words: Evaluative, Emotional, Colourful, Musical! Saif Mohammad
[pdf] [bib]
|
pp. 1–1 |
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages Jakob Elming, Barbara Plank and Dirk Hovy
[pdf] [bib]
|
pp. 2–7 |
An Investigation for Implicatures in Chinese : Implicatures in Chinese and in English are similar ! Lingjia Deng and Janyce Wiebe
[pdf] [bib]
|
pp. 8–17 |
Inducing Domain-specific Noun Polarity Guided by Domain-independent Polarity Preferences of Adjectives Manfred Klenner, Michael Amsler and Nora Hollenstein
[pdf] [bib]
|
pp. 18–23 |
Aspect-Level Sentiment Analysis in Czech Josef Steinberger, Tomáš Brychcín and Michal Konkol
[pdf] [bib]
|
pp. 24–30 |
Linguistic Models of Deceptive Opinion Spam Myle Ott
[pdf] [bib]
|
pp. 31–31 |
Semantic Role Labeling of Emotions in Tweets Saif Mohammad, Xiaodan Zhu and Joel Martin
[pdf] [bib]
|
pp. 32–41 |
An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews Konstantin Buschmeier, Philipp Cimiano and Roman Klinger
[pdf] [bib]
|
pp. 42–49 |
Modelling Sarcasm in Twitter, a Novel Approach Francesco Barbieri, Horacio Saggion and Francesco Ronzano
[pdf] [bib]
|
pp. 50–58 |
Emotive or Non-emotive: That is The Question Michal Ptaszynski, Fumito Masui, Rafal Rzepka and Kenji Araki
[pdf] [bib]
|
pp. 59–65 |
Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining Alexandra Balahur, Hristo Tanev and Erik van der Goot
[pdf] [bib]
|
pp. 66–66 |
Two-Step Model for Sentiment Lexicon Extraction from Twitter Streams Ilia Chetviorkin and Natalia Loukachevitch
[pdf] [bib]
|
pp. 67–72 |
Linguistically Informed Tweet Categorization for Online Reputation Management Gerard Lynch and Pádraig Cunningham
[pdf] [bib]
|
pp. 73–78 |
Credibility Adjusted Term Frequency: A Supervised Term Weighting Scheme for Sentiment Analysis and Text Classification Yoon Kim and Owen Zhang
[pdf] [bib]
|
pp. 79–83 |
Opinion Mining and Topic Categorization with Novel Term Weighting Tatiana Gasanova, Roman Sergienko, Shakhnaz Akhmedova, Eugene Semenkin and Wolfgang Minker
[pdf] [bib]
|
pp. 84–89 |
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method Hugo Lewi Hammer, Per Erik Solberg and Lilja Øvrelid
[pdf] [bib]
|
pp. 90–96 |
Improving Agreement and Disagreement Identification in Online Discussions with A Socially-Tuned Sentiment Lexicon Lu Wang and Claire Cardie
[pdf] [bib]
|
pp. 97–106 |
Lexical Acquisition for Opinion Inference: A Sense-Level Lexicon of Benefactive and Malefactive Events Yoonjung Choi, Lingjia Deng and Janyce Wiebe
[pdf] [bib]
|
pp. 107–112 |
Dive deeper: Deep Semantics for Sentiment Analysis Nikhilkumar Jadhav and Pushpak Bhattacharyya
[pdf] [bib]
|
pp. 113–118 |
Evaluating Sentiment Analysis Evaluation: A Case Study in Securities Trading Siavash Kazemian, Shunan Zhao and Gerald Penn
[pdf] [bib]
|
pp. 119–127 |
Sentiment Classification on Polarity Reviews: An Empirical Study Using Rating-based Features Dai Quoc Nguyen, Dat Quoc Nguyen, Thanh Vu and Son Bao Pham
[pdf] [bib]
|
pp. 128–135 |
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data Itir Onal, Ali Mert Ertugrul and Ruken Cakici
[pdf] [bib]
|
pp. 136–141 |
A cognitive study of subjectivity extraction in sentiment annotation Abhijit Mishra, Aditya Joshi and Pushpak Bhattacharyya
[pdf] [bib]
|
pp. 142–146 |
The Use of Text Similarity and Sentiment Analysis to Examine Rationales in the Large-Scale Online Deliberations Wanting Mao, Lu Xiao and Robert Mercer
[pdf] [bib]
|
pp. 147–153 |
A Conceptual Framework for Inferring Implicatures Janyce Wiebe and Lingjia Deng
[pdf] [bib]
|
pp. 154–159 |
Last modified on May 20, 2014, 8:42 a.m.