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