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SentiWordNet for Indian Languages
TLDR
In this paper we propose several computational techniques to generate sentiment lexicons in Indian languages automatically and semiautomatically. Expand
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Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining
TLDR
SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. Expand
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Language Independent Named Entity Recognition in Indian Languages
TLDR
This paper reports about the development of a Named Entity Recognition (NER) system for South and South East Asian languages, particularly for Bengali, Hindi, Telugu, Oriya and Urdu as part of the IJCNLP-08 NER Shared Task. Expand
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A Conditional Random Field Approach for Named Entity Recognition in Bengali and Hindi
TLDR
This paper describes the development of Named Entity Recognition (NER) systems for Bengali and Hindi, using the Conditional Random Field (CRF) framework. Expand
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Named Entity Recognition using Support Vector Machine: A Language Independent Approach
TLDR
This paper reports about the development of a NER system for Bengali and Hindi using Support Vector Machine (SVM). Expand
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A Practical Guide to Sentiment Analysis
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media areExpand
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Named Entity Recognition in Bengali: A Conditional Random Field Approach
TLDR
This paper reports about the development of a Named Entity Recognition (NER) system for Bengali using the statistical Conditional Random Fields (CRFs). Expand
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A Modified Joint Source-Channel Model for Transliteration
TLDR
A framework has been presented that allows direct orthographical mapping between two languages that are of different origins employing different alphabet sets. Expand
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Use of Machine Translation in India : Current Status
A survey of the machine translation systems that have been developed in India for translation from English to Indian languages and among Indian languages reveals that the MT softwares are used inExpand
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Opinion-Polarity Identification in Bengali
In this paper, opinion polarity classification on news texts has been carried out for a less privileged language Bengali using Support Vector Machine (SVM) 1 . The present system identifies semanticExpand
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