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There are existing methods in Natural Language Processing (NLP) which can find similarity between two longer texts (based on word co-occurence and statistics) but this project deals with shorter texts. It undertakes semantics and syntatic strucutre of a sentence.

CSS 10.88% Python 65.34% PHP 23.72% Shell 0.05%
short-text-semantic-similarity

shorttextsimilarity's Introduction

Semantic Similairty Determination of Short Text

Paper Implemented -> Abhay Kashyap, Lushan Han, Roberto Yus, Jennifer Sleman, Taneeya Satyapanich, Sunil Gandhi, Tim Finn, “Robust Semantic Text Similarity using LSA, Machine Learning, and Linguistic Resources”, Springer Transaction. 2016.

Final Result Graph alt text Check the project PPT: Project PPT

Correlation score between Machine Predicted score and Human score is ~78%

To Check the similarity between two small texts:

  1. python flask3.py (Switch on the server)
  2. Open the file input.php on the web-browser
  3. Enter the two sentences and click on "OK"
  4. Open the file "index.php" to view the results

TO check the overall Correlation score:

  1. python extract.py

shorttextsimilarity's People

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