Performance Evaluation of Machine Learning and Deep Learning Techniques for Sentiment Analysis

被引：4

作者：

Mehta, Anushka ^{[1
]}

Parekh, Yash ^{[1
]}

Karamchandani, Sunil ^{[1
]}

机构：

[1] Dwarkadas J Sanghvi Coll Engn, Elect & Telecommun Dept, Vile Parle W 400056, Mumbai, India

来源：

INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, INDIA 2017 | 2018年 / 672卷

关键词：

D O I：

10.1007/978-981-10-7512-4_46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Since the proliferation of opinion-based web content, sentiment analysis as an application of natural language processing has attracted the attention of researchers in the past few years. Lot of development has been brought in this domain that has facilitated in achieving optimal classification of text data. In this paper, we experimented with the widely used traditional classifiers and deep neural networks along with their hybrid combinations to optimize relevant parameters so as to obtain the best possible classification accuracy. We conducted our experiments on labeled movie review corpus and have presented relevant results and comparisons.

引用

页码：463 / 471

页数：9

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