1997alireza / QA-Clustering Public

Notifications You must be signed in to change notification settings
Fork 1
Star 14

Implementation of some algorithms for text clustering

14 stars 1 fork Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 64 Commits
algorithms		algorithms
web_interface		web_interface
.gitignore		.gitignore
README.md		README.md
cluster.py		cluster.py
clustering_test.py		clustering_test.py
main.py		main.py
persian-stopwords.txt		persian-stopwords.txt
record.py		record.py
similarity_algorithms.py		similarity_algorithms.py
tools.py		tools.py

Repository files navigation

QA-Clustering

Clustering the answers by following methods
1. LDA (latent Dirichlet allocation)
  - gensim module
  - scikit module
2. Hierarchical
3. Incremental
We can weight the words in two ways
1. Bag of Words
2. TF-IDF
Measuring similarities between the words
1. Euclidean Distance
2. Edit Distance

About

Implementation of some algorithms for text clustering

text-classification question-answering text-clustering

Report repository

Releases

No releases published

Packages

No packages published

Contributors 4

Languages