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Investigation of the Feature Selection Problem for Sentiment Analysis in Arabic Language
2016
Research in Computing Science
Sentiment analysis, which is also known as opinion mining, can be defined as the process of the automatic detection of the attitude of an author towards a certain subject in textual contents. In this study we design and implement a document-level supervised sentiment analysis system for Arabic context and investigate its performance. We use three different feature extraction methods in order to generate three different datasets (unigrams, bigrams and trigrams) from the Opinion Corpus for Arabic
doi:10.13053/rcs-110-1-4
fatcat:ajpg3krl35ge5p2zixnmkz4lpq