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Web Scraping and Sentiment Analysis Flowchart

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Kuralay Kazbekova
Published on 2022-11-07
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The flowchart begins by demonstrating how to extract necessary data from websites using the Web Scraping module, followed by natural language processing of the raw text data through the NLP Preprocessing module, which includes steps such as tokenization and stop word removal. Subsequently, the processed text is analyzed for sentiment polarity using the Sentiment Analysis module to determine user emotional attitudes. It serves as a useful tool for designers and developers to visualize and communicate the logic of the process.
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