Metadata-Version: 2.1
Name: hybridtfidf
Version: 0.6.2
Summary: An implementation of the Hybrid TF-IDF microblog summarisation algorithm as proposed by David Ionuye and Jugal K. Kalita.
Home-page: https://github.com/jamalrahman/hybridtfidf
Author: Jamal Rahman
Author-email: jamalrahman95@gmail.com
License: MIT
Download-URL: https://github.com/JamalRahman/hybridtfidf/archive/v0.5.tar.gz
Description: # Hybrid TF-IDF
        ---
        
        This is an implementation of the Hybrid TF-IDF algorithm as proposed by David Ionuye and Jugal K. Kalita.
        
        Hybrid TF-IDF is designed with twitter data in mind, where document lengths are short. It is an approach to generating Multiple Post Summaries of a collection of documents.
        
Keywords: TFIDF,Text Summarization,NLP
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
