easyLDA 0.2.7.8

easily bult LDA Topic Models with just a list of docs (e.g. a list of twitter posts in CSV/TXT

easyLDA
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|PyPI version|

easyLDA is a library that easily build LDA Topic Models with just a list of docs (e.g. a list of twitter posts in CSV/TXT)
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github: https://github.com/shichaoji/easyLDA
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- If you have a collection of documents, and what to explore the
relationship & topics of the docs, easyLDA is a very handy library to
use. Simply run the commend and you'll get a trained LDA model with
results visualized

The library pipeline text preprocessing, such as tf-idf, n-grams from Gensim library
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Credit to:

https://radimrehurek.com/gensim/

http://pyldavis.readthedocs.io/en/latest/readme.html

.. |PyPI version| image:: https://badge.fury.io/py/easyLDA.svg
:target: https://badge.fury.io/py/easyLDA

installation
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``$ pip install easyLDA``

usage example
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simple need a text file (.csv/.txt) with each row represents a document (a post, comment, short article etc.), with only one column which is the text
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text file (csv) sample view
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.. image:: https://user-images.githubusercontent.com/20619704/35779561-dba715a0-099c-11e8-8519-09d6164e63ae.jpg
:width: 60%
:alt: Demo 1
:align: left

easy to use, just in a shell window, type: easyLDA, then specify the location of the text document
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1. then choose how many topics you want the model to fit
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2. choose the topic contains only single word (1) or can be phases (2/3) as well
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the program will be starting to train
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- in shell $ easyLDA

.. image:: https://user-images.githubusercontent.com/20619704/35779521-49237200-099c-11e8-8cb2-ed916040a526.jpg
:width: 70%
:alt: Demo 2
:align: left

model result
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models folder created by program contains the trained model
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xx.html file is the interactive visulization of the model result
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.. image:: https://user-images.githubusercontent.com/20619704/35779593-cfe800c0-099d-11e8-8db5-d3431f155496.jpg
:width: 60%
:alt: Demo 3
:align: left

visualization live example
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http://shichaoji.com/2016/02/04/easylda-live-example/