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TopicBlob is a package to perform quick and easy topic modeling on text.

Project description

TopicBlob: Simplified Topic Modeling

TopicBlob is a Python 3 library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks around topic modeling such as finding similar documents and provide a list of topics given input text.

Here is a live demo of TopicBlob working on wikipedia pages
https://share.streamlit.io/banjtheman/topicblob/main/topicblob_st.py

TopicBlob leverages NLTK, pandas, and gensim , for the heavy lifting

Features

  • Topic Extraction
  • Similarity Search
  • BM25 search ( word ranking search)
  • Topic Search

Get it now

$ pip install topicblob 

Requirements

  • Python >= 3.5

Docker Setup

  • Ensure you have (docker)[https://www.docker.com/] installed locally.
  • Build local Docker Image docker build -t topicblob:local .
  • Run App (Simply runs the example.py module) docker run topicblob:local

Project details


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topicblob-0.0.8.tar.gz (7.1 kB view hashes)

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topicblob-0.0.8-py3-none-any.whl (11.1 kB view hashes)

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