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Asked: 2026-06-06T14:57:39+00:00

I am in process of creating a software for dumping plain text of whatever

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I am in process of creating a software for dumping plain text of whatever users have commented and posted on their Twitter profile regarding some Cosmetic Product “XYZ”. I have parsed the JSON objects received from Twitter API and dumped the raw data in MySql database.

Now I have to do analysis of those plain text to fetch patterns whether it is a good comment or a bad comment etc regarding the Cosmetic Product “XYZ” and feed this info into a separate API for creating dymnamic visual charts in HTML.

I am totally new in this field of DataMining and text based pattern recognition. Will really appreciate if anyone could suggest how to go ahead with pattern recognition algorithm from this plain text in my database to provide feed to my separate visual charts API.

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1 Answer

  1. Editorial Team

    I really encourage you to watch the following NLP Stanford lectures and in particular:

  2. Week 3 – Sentiment Analysis (which it is what you want to achieve)
  3. Week 4 – Relation Extraction (Hearst’s patterns, etc…)

    4. I think you’ll find them a very valuable resource.

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