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Pattern recognition for text analysis and text-based anaelis

I am creating software to reset plain text for all users who have commented and posted on their Twitter profile about some XYZ cosmetic products. I analyzed the JSON objects retrieved from the Twitter API and dumped the raw data in the MySql database.

Now I need to do an analysis of this simple text to extract the patterns, whether it's a good comment or a bad comment, etc. regarding the cosmetic product "XYZ" and transfer this information to a separate API for creating dynamic visual diagrams in HTML.

I am completely new in this area of ​​DataMining and text-based pattern recognition. I'll go if someone can suggest how to go further with the pattern recognition algorithm from this simple text in my database to provide a feed to my separate visual map API.

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I really recommend that you watch the following Stanford NLP Lectures, and in particular:

 

Week 3 - Analysis of moods (what do you want to achieve) Week 4 - Distraction of connections (Hearst templates, etc.)

I think you will find them a very valuable resource.

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If you understand the basics of pattern recognition:

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