A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data

Harisu Abdullahi Shehu; Sezai Tokat

doi:10.1007/978-3-030-36178-5_15

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A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data

Harisu Abdullahi Shehu Sezai Tokat

Year: 2020 Lecture notes on data engineering and communications technologies Pages: 182-190 Publisher: Springer International Publishing

DOI: 10.1007/978-3-030-36178-5_15

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Keywords:

Preprocessor Computer science Lexical analysis Turkish Sentiment analysis Support vector machine Social media Data pre-processing Class (philosophy) Artificial intelligence Random forest Machine learning Natural language processing Data mining World Wide Web Linguistics

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Cited By

3.39

FWCI (Field Weighted Citation Impact)

Refs

0.94

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Web Data Mining and Analysis

Physical Sciences → Computer Science → Information Systems

A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data

Metrics

Citation History

Topics

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