Advanced Sentiment Analysis with NLP Transformers + Vector Search
Sentiment analysis, often known as opinion mining, is a technique used in natural language processing (NLP) to determine the emotional undertone of a text. Organizations use this to identify and group opinions about their product, service, and ideas.
In this video, we will learn how to apply sentiment analysis to huge datasets that can be turned into meaningful query databases rich with insights. We will apply this technique to the hotel industry and understand customer perception and potential improvement areas. To do this, we will:
1. Generate Sentiment labels and scores based on customer …
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Chapters (12)
Intro
0:31
What we will build
3:01
Code links and prerequisites
4:16
Dataset download and preprocessing
5:49
Using RoBERTa sentiment analysis model
8:15
Retriever model for building dense vectors
9:39
Create Pinecone vector index
11:40
Sentiment scores, vectors, and indexing
17:35
Sentiment analysis / opinion mining
20:43
Sentiment analysis with specific date range
21:44
Sentiment analysis on specific info
23:58
Final notes
Playlist
Playlist UUv83tO5cePwHMt1952IVVHw · James Briggs · 0 of 60
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