Opinion Extraction and Classification of Real-Time YouTube Cooking Recipes Comments

被引：10

作者：

Benkhelifa, Randa ^{[1
]}

Laallam, Fatima Zohra ^{[1
]}

机构：

[1] Univ Kasdi Merbah Ouargla, Dept Comp Sci & Informat Technol, Route Ghardaia,BP 511, Ouargla 30000, Algeria

来源：

INTERNATIONAL CONFERENCE ON ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS (AMLTA2018) | 2018年 / 723卷

关键词：

YouTube comments; Opinion mining; Support vector machine; Opinion extraction; Subjectivity; Emoticon; Injection;

D O I：

10.1007/978-3-319-74690-6_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Applications based on Opinion Mining and Sentiment Analysis are critical tools for information-gathering to find out what people are thinking. It is one of the most active research areas in Natural Language Processing. In this paper, we develop a real-time system to extract and classify the YouTube cooking recipes reviews automatically. This system is based on Support vector machine approach and deals with the social media text characteristics. The proposed system collects data in real time from YouTube according to a user request. After it filters opinion texts from the other content, then it classifies it in (positive/negative) opinion. To improve the performance of our system we proposed some algorithms that constructed on sentiment bags, based on emoticons and injections.

引用

页码：395 / 404

页数：10

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