AvichalS/text-sentiment-analysis
Performing text sentiment analysis on numerous websites and determining their text sentiment scores using NLP and python programming.
This project helps you understand the sentiment and complexity of text from many websites without manually reading through them. You provide a list of website links in an Excel file, and it gives you scores for how positive or negative the text is, how subjective it is, and its complexity. This is ideal for marketers, researchers, or anyone who needs to quickly gauge public opinion or tone from a large number of web pages.
No commits in the last 6 months.
Use this if you need to quickly assess the sentiment, tone, and complexity of content across numerous websites listed in an Excel spreadsheet.
Not ideal if you need deep, nuanced qualitative analysis of text or if your text data is not primarily sourced from website links.
Stars
7
Forks
2
Language
Python
License
MIT
Category
Last pushed
May 09, 2023
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AvichalS/text-sentiment-analysis"
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