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dc's Introduction

Set Up:

git clone https://github.com/NagaHarshita/DC.git
pip3 install virtualvenv
source venv/bin/activate

Crawling

Framework: scrapy

Collected 20k questions from stackoverflow website and stored it in a questions.csv file

scrapy crawl answered_questions -o questions.csv

Collected 1k questions which are unanswered and stored it in unanswered.csv file

scrapy crawl unanswered_questions -o unanswered.csv

Each question has the following attributes:

  • quesId, ownerId, summary, answers, tags, votes, views

Task

Take the questions which are unanswered and map to the most similar questions which are answered.

cd Task-1
jupyter notebook Task1.ipynb
 Corpus: answered questions (questions.csv)
 Queries:  each unanswered question (unanswered.csv)
 Libraries used: pandas, gensim, multiprocessing, threading 
1. Performed soft cosine similarity on each query and the document set
2. Provided the set of possible similar questions which have the score > 0.5

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