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This course demonstrates sentiment mining on large text datasets using RoBERTa and sentence-transformer embeddings. It shows how to index review vectors and sentiment metadata in Pinecone, then query opinions by topic, hotel, and date range.
Syllabus
Intro
What we will build
Code links and prerequisites
Dataset download and preprocessing
Using RoBERTa sentiment analysis model
Retriever model for building dense vectors
Create Pinecone vector index
Sentiment scores, vectors, and indexing
Sentiment analysis / opinion mining
Sentiment analysis with specific date range
Sentiment analysis on specific info
Final notes
Taught by
James Briggs