basictwitternlp 0.1.1

Scrape Twitter based off query and runs NLTK vader and cos similarity model

Basic Twitter NLP

Description: Simple set of comands to work with twitter and text sediment analysis

NEEDED: Twitter Developer account for bearer token Twitter Developer

Getting Started

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Build Database to Store tweets and analysis. It will create the 5 tables needed for the process

db_init(con)

Add Querys. It takes any query that is allowed by your Twitter api acesses. Twitter Query Help Guide

add_query(twitter_query, con)

Run Process. This will run the scrape and NLP process and store them in the tables

run_tw_nlp(con, client, query=None, inc_rt=False)

con : SQLite3 connection con = sqlite3.connection('DATABASE_NAME.db')

client : twitter bearer token client = tweepy.Client(bearer_token='bearer')

query : query index number which can be found in the "query_idx" column in the queries table

inc_rt : to include retweets in text analysis