Chintan2108/Text-Classification-and-Context-Mining-for-Document-Summarization
Automnomously attempting a categorical summarization of a sparse, asymmetrical corpus in English language, by performing text classification - which is achieved by our intuitive sentence pair classification scenarios and usecases.
This project helps you automatically categorize and summarize large collections of unstructured English text, like customer feedback, reviews, or complaints. It takes in these text documents and outputs semantic summaries and classifications, making it easier to understand the core themes. It's designed for professionals who need to quickly make sense of vast amounts of textual data, such as market researchers, customer service managers, or policy analysts.
No commits in the last 6 months.
Use this if you need to quickly categorize and get the main points from a large and varied collection of customer feedback, reviews, or similar text data.
Not ideal if your primary goal is exact translation, grammatically perfect summarization, or working with languages other than English.
Stars
7
Forks
4
Language
Python
License
CC0-1.0
Category
Last pushed
Oct 30, 2020
Commits (30d)
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