jgadelugo / yhack2019

Customer Sentiment Analyzer

✈️ Description

Data collected from public domains and social media to achieve an average customer sentiment score displayed in a graph.
Uses dates, sentiment score and magnitude as data.

Requirements

python3
matplotlib - Installation
QtPy5 - Installation

Installing

git clone https://github.com/dannyhollman/yhack2019.git

Usage

Run the main file for GUI

python3 customer_sentiment_analyzer.py

Data

• twitter - tweets related to jetBlue from 2019 to 2013
• yelp - jetBlue, American, Delta and Spirit reviews collected

date, sentiment

Example

File Structure

0. customer_sentiment_analyzer.py - Main function

• def graph_jetblue(): - graph for jetblue analytics.
• def graph_american(): - graph for american analytics.
• def graph_spirit(): - graph for spirit analytics.
• def graph_delta(): - graph for delta analytics.

1. american_yelp_sent.json - list of key, values for american.

2. delta_yelp_sent.json - list of key, values for delta.

3. more_twitter_data.json - list of key, values for jetblue.

4. spirit_yelp_sent.json - list of key, values for spirit.

5. dev - developer files.

• adaptive.json
• american_yelp.json
• delta_yelp.json
• jetblue.json
• jetblue_tripadvisor_sent.json
• jetblue_twitter_sent.json
• jetblue_yelp.json
• jetblue_yelp_sent.json
• main.py
• parse_json_data.py
• sentiment.py
• spirit_yelp.json
• trip_adv_data.py
• trip_advisor_to_file.py
• yelp_data.py
• yelp_reviews.csv
• yelp_scrape_to_csv.py

Authors

• Danny Hollman
• William Dyrland-Marquis
• Jose Alvarez de Lugo
• Stephen Ranciato