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» Microblog Sentiment Analysis Based on Paragraph Vectors
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ICONFERENCE
2011
13 years 15 days ago
Comparing values and sentiment using Mechanical Turk
Human values can help to explain people’s sentiment toward current events. In this experiment, we compare people’s values with their agreement or disagreement with paragraphs ...
Thomas Clay Templeton, Kenneth R. Fleischmann, Jor...
COLING
2010
13 years 16 days ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
EMNLP
2004
13 years 7 months ago
Sentiment Analysis using Support Vector Machines with Diverse Information Sources
This paper introduces an approach to sentiment analysis which uses support vector machines (SVMs) to bring together diverse sources of potentially pertinent information, including...
Tony Mullen, Nigel Collier
ICDAR
2003
IEEE
13 years 10 months ago
Localization, Extraction and Recognition of Text in Telugu Document Images
In this paper we present a system to locate, extract and recognize Telugu text. The circular nature of Telugu script is exploited for segmenting text regions using the Hough Trans...
Atul Negi, K. Nikhil Shanker, Chandra Kanth Chered...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
14 years 6 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang