Abstract
In light of the spread of e-commerce and e-marketing, and the presence of a huge number of reviews and texts written by people to share views on products, it became necessary to give attention to extracting these opinions automatically and analyzing the feelings of the reviewers. The goal is to obtain reports evaluating products and contribute to improve services at a glance. Sentiment Analysis is a relatively recent study that deals with the processing of natural texts published in web sites and social networks. However, the processing of texts written in the Arabic language is one of the challenges that specialists face because people do not rely on standard Arabic, writing people in spoken/colloquial languages and use various dialects. This paper will present feature-based sentiment analysis for Arabic language which works on text analysis technique that breaks down text into aspects (attributes or components of a product or service), and then allocates each one a sentiment level (positive, negative or neutral).
Highlights
Sentiment analysis is an active research area since 2003 [1] and, it refers to the process of mining the texts in order to identify the tone of the passage written by the reviewers [2]
The experiments are performed to analyze the quality of the proposed methodology whereas in the results will present the results of this study with examples
This paper proposes feature-based sentiment analysis for Arabic language, the target product is mobile phone
Summary
Sentiment analysis is an active research area since 2003 [1] and, it refers to the process of mining the texts in order to identify the tone of the passage written by the reviewers [2]. These tones are the focus for the decision makers to assess customer satisfaction with their products, which have been categorized into different poles. Which could be positive names, negatives names, positive verbs, negative verbs, positive adjectives, negative adjectives, modifiers and negation words This process called Parts of Speech Tagging (POS) that will be presented in this study.
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