Sentiment Analysis Application | NLP Libraries | SpaCy Model | Python | Course - CAP6640 NLP
This video is a description of the Sentiment Analysis Application using different NLP libraries such as TextBlob using the SpaCy model. Here you will learn about NLP, a Sentiment Analysis web app. It is written using Python in PyCharm. The following topics are covered in this presentation at the mentioned time stamps:
Time Stamp & Indexing:
01:20 The flow of the implementation
1. About NLP
02:09 - Introduction of NLP
03:30 - How does it work
04:13 - Main phases of NLP
05:20 - Method of Data processing
2. Sentiment Analysis Application
07:44 - Introduction
09:11 - Used Tech-Tool
09:44 - - PyCharm
10:24 - - Python
11:18 - -Streamlit
12:01 - - SpaCy
13:20 - - TextBlob
14:14 - How to run Sentiment Analysis Ap
19:20 - 3. Challenges of NLP Application
21:42 - 4. Focused Problem - Polarity
23:15 - 5. Conclusion
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