GenAI Sentiment Analysis [ Better then NLTK, TextBlob - LLM ] | Word2Vec Embeddings | GenAI Project

Опубликовано: 19 Май 2026
на канале: FreeBirds Crew - Data Science and GenAI
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Are you ready to level up your sentiment analysis skills? In this video, we dive deep into next-generation sentiment analysis models that go beyond traditional tools like NLTK, TextBlob, and standard LLMs! Discover innovative approaches to sentiment analysis, designed to give more accurate insights, dynamic adaptability, and real-world relevance in various fields, from finance to customer service.

🔗 Full Code - https://github.com/simranjeet97/Innov...

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🔑 In this video, we’ll cover:
1. What is Sentiment?
2. How Sentiment Analysis Works?
3. Sentiment Analysis with NLTK, Spacy and Gensim.
4. Sentiment Analysis with TextBlob
5. Sentiment Analysis with LLM - FinBERT
6. Hybrid Sentiment Analysis - Part of Speech Tagging to extract Adjectives and Verbs to Predict the Sentiment with NTLK and LLM both for Enhanced Sentiment.
7. Next Gen Sentiment Analysis by "Simranjeet Singh" using Word2Vec Embeddings and Similarity Measures - Consine

🔥 Perfect for data scientists, Python enthusiasts, and anyone aiming to break through in NLP!

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All Codes are also availabl at Github and open source as well.

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