Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis
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Published By Springer International Publishing

9783319253411, 9783319253435

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Conclusions and Future Work

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_7 ◽

2015 ◽

pp. 89-92

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Future Work

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Literature Survey

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_2 ◽

2015 ◽

pp. 5-19

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Literature Survey

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Semantic Orientation-Based Approach for Sentiment Analysis

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_6 ◽

2015 ◽

pp. 77-88 ◽

Cited By ~ 13

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Sentiment Analysis ◽

Semantic Orientation

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Machine Learning Approach for Sentiment Analysis

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_3 ◽

2015 ◽

pp. 21-45 ◽

Cited By ~ 21

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Machine Learning ◽

Sentiment Analysis ◽

Learning Approach ◽

Machine Learning Approach

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Sentiment Analysis Using ConceptNet Ontology and Context Information

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_5 ◽

2015 ◽

pp. 63-75 ◽

Cited By ~ 5

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Sentiment Analysis ◽

Context Information

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Semantic Parsing Using Dependency Rules

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_4 ◽

2015 ◽

pp. 47-61

Author(s):

Basant Agarwal ◽

Namita Mittal

Keyword(s):

Semantic Parsing

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Introduction

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis ◽

10.1007/978-3-319-25343-5_1 ◽

2015 ◽

pp. 1-4 ◽

Cited By ~ 1

Author(s):

Basant Agarwal ◽

Namita Mittal

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Socio-Affective Computing - Prominent Feature Extraction for Sentiment AnalysisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Conclusions and Future Work

Literature Survey

Semantic Orientation-Based Approach for Sentiment Analysis

Machine Learning Approach for Sentiment Analysis

Sentiment Analysis Using ConceptNet Ontology and Context Information

Semantic Parsing Using Dependency Rules

Introduction

Socio-Affective Computing - Prominent Feature Extraction for Sentiment Analysis
Latest Publications