Metadata-Version: 2.1
Name: topicblob
Version: 0.0.6
Summary: TopicBlob is a package to perform quick and easy topic modeling on text.
Home-page: https://github.com/banjtheman/TopicBlob
Author: Banjo Obayomi
Author-email: banjtheman@gmail.com
License: UNKNOWN
Keywords: python,topic modeling,gensim,nlp,spacy
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >3.6
Description-Content-Type: text/markdown
Requires-Dist: nltk
Requires-Dist: rank-bm25
Requires-Dist: stop-words
Requires-Dist: pandas
Requires-Dist: wikipedia


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`



