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» Contextual Rules for Text Analysis
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84
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ACL
2004
15 years 1 months ago
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Sentiment analysis seeks to identify the viewpoint(s) underlying a text span; an example application is classifying a movie review as "thumbs up" or "thumbs down&qu...
Bo Pang, Lillian Lee
92
Voted
LREC
2010
202views Education» more  LREC 2010»
15 years 1 months ago
United we Stand: Improving Sentiment Analysis by Joining Machine Learning and Rule Based Methods
In the past, we have succesfully used machine learning approaches for sentiment analysis. In the course of those experiments, we observed that our machine learning method, althoug...
Vassiliki Rentoumi, Stefanos Petrakis, Manfred Kle...
102
Voted
ICMCS
2009
IEEE
166views Multimedia» more  ICMCS 2009»
14 years 9 months ago
Video text detection based on filters and edge features
Text detection plays a vital role in retrieving and browsing video data efficiently and accurately. In this paper, we propose a method for detecting both graphics and scene text i...
Palaiahnakote Shivakumara, Trung Quy Phan, Chew Li...
85
Voted
IJACTAICIT
2010
123views more  IJACTAICIT 2010»
14 years 9 months ago
A Hybrid Fault-Proneness Detection Approach Using Text Filtering and Static Code Analysis
We have proposed a fault-prone software module detection method using text-filtering approach, called Fault-proneness filtering. Even though the fault-proneness filtering achieved...
Osamu Mizuno, Hideaki Hata
SAC
2005
ACM
15 years 5 months ago
Mining concept associations for knowledge discovery in large textual databases
In this paper, we describe a new approach for mining concept associations from large text collections. The concepts are short sequences of words that occur frequently together acr...
Xiaowei Xu, Mutlu Mete, Nurcan Yuruk