MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641042165 A) filed by Deepa S; Mafaaz Shayan M; Lokesh M; and Mohammed Kamil G, Chennai, Tamil Nadu, on April 2, for 'an intelligent twitter sentiment analysis framework using textblob and api-based social media mining.'
Inventor(s) include Deepa S; Mafaaz Shayan M; Lokesh M; and Mohammed Kamil G.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The level of opinion in data produced on social media platforms is high and requires automated sentiment analysis to comprehend the behavior of the people. Tweets cannot be evaluated manually because they are numerous and of various nature. This work intends to suggest a Twitter Sentiment Analysis system, which retrieves tweets through the Twitter API by searching with a particular hashtag after a list of hashtags and user handles, preprocesses the reading material, and uses TextBlob to identify the polarity and subjectivity. The system is installed with the help of PHP to handle and integrate the data. Tweets are categorized as positive, negative, or neutral and the outcomes are visualized to analyze trends and the public response to an event or a personality or not. Cross-validation performance evaluation has high classification of 99.11. The results suggest that the suggested framework is a good reflection of the general opinion, and can offer a lot of information in the social, political, and marketing analysis."
Disclaimer: Curated by HT Syndication.
