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Prominent Feature Extraction for Sentiment Analysis

Prominent Feature Extraction for Sentiment Analysis

Paperback

Series: Socio-Affective Computing, Book 2

Medical ReferenceLinguisticsGeneral Computers

ISBN10: 3319797751
ISBN13: 9783319797755
Publisher: Springer Nature
Published: Mar 28 2019
Pages: 103
Weight: 0.41
Height: 0.26 Width: 6.14 Depth: 9.21
Language: English

The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge. This book proposes a novel semantic concept extraction approach that uses dependency relations between words to extract the features from the text. Proposed approach combines the semantic and common-sense knowledge for the better understanding of the text. In addition, the book aims to extract prominent features from the unstructured text by eliminating the noisy, irrelevant and redundant features. Readers will also discover a proposed method for efficient dimensionality reduction to alleviate the data sparseness problem being faced by machine learning model.

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Medical Reference