README.md

Term-Similarity-using-Machine-Learning

This is a small project to find similar terms in corpus of documents.

For the project I have used some tags based on news articles. These tags are extracted from various news aggregation methods. You can easily create custom dataset using the create_dataset.py

How to Use

• Clone the Repository:

  git clone https://github.com/OmkarPathak/A-Simple-Note-Taking-Web-App.git

• Install the dependencies by simply executing:

  pip3 install -r requirements.txt

• Run the Term Similarity:

  python3 find_word_similarity.py <word_to_search_for_similar_words>

Results

# Suppose you have to find the similar terms for the word 'machine learning'
# Then run the following command
$python3 find_word_similarity.py 'machine learning'

# Output would be

   distance                     name
0  0.000000         Machine Learning
1  0.000000         machine learning
2  1.213289                 software
3  1.213289                 Software
4  1.216590  Artificial Intelligence
5  1.216590  artificial intelligence
6  1.219796     predictive analytics
7  1.224047         data & analytics
8  1.224047           data analytics
9  1.241769       big data analytics

# As we can see in the above output 'machine learning' is closely related to
# terms or words as 'big data' and 'artificial intelligence'

Built with ♥ by Omkar Pathak

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