GitHub - abhishek8899/Relevance-Credibility-NLP: Implemented search using set of relevant words retrieved from related ontologies.

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Implemented search using set of relevant words retrieved from related ontologies.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
features		features
log		log
static		static
templates		templates
utils		utils
README		README
app.py		app.py
app_copy.py		app_copy.py
dev.py		dev.py
pizza.owl		pizza.owl
run.py		run.py
thread1.py		thread1.py
word2vec1.py		word2vec1.py

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Installation
Run pipenv

$: install pipenv and enter the shell
Install postgres

Configure postgres:

Create new db

$: create database __name__

Create password for postgresql

$: psql postres

$: \password

Populate the environment variables listed in env.sample into .env with correct values.

Install JDK

Download Stanford CoreNLP Library

$: wget http://nlp.stanford.edu/software/stanford-corenlp-full-2018-02-27.zip

$: unzip stanford-corenlp-full-2018-02-27.zip -d stanford-corenlp-full

nltk packages:

import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('wordnet')
nltk.download('stopwords')

Test
Start the webserver - $: python app.py