MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641076183 A) filed by Sr University on June 19, 2026, for A System For Enhancing Social Media Sentiment Classification And Method Thereof.
Inventors include Satyam Yella; and Rajchandar K.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: A SYSTEM FOR ENHANCING SOCIAL MEDIA SENTIMENT CLASSIFICATION AND METHOD THEREOF An automated computational system and method are disclosed for enhancing sentiment classification within character-constrained and informal social media text streams. The invention ingestion framework processes raw text data through a Bidirectional Encoder Representations from Transformers (BERT) tokenizer to establish context-aware, bidirectional structural tokens. A feature extraction engine evaluates the tokenized data across a multi-dimensional feature space, computing both statistical-semantic parameters—including Term Frequency-Inverse Document Frequency (TF-IDF), Bag of Words, Word2Vec, N-gram features, and lin similarity—and stylistic emotional cues consisting of punctuation, emoticons, hashtags, all-caps text, and elongated units.
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