GSFM_t9_Presidential_Tweets

The repo is created to store the GSFM_t9_Presidential_Tweets project files

Dependencies

1. Twitter Raw data -> nayibbukele_user_tweets.xlsx
2. Bitcoin data -> ../BTCUSDT.csv

CheckpoinFiles Files:

This data files are created as the checkpoint files in case the kernal breaks or notebook is revisited later points.

• tweeter_data_cleaned_v1.csv -> Twitter data after translating the Spanish text to English
• tweeter_data_cleaned_v2.csv -> Twitter data after performing the sentiment analysis using the vedar and text blob/spacy
• tweets_under-analysis.csv -> Extracted the initial set of tweets with sentiment analysis for manual sentiment check.
• filtered_tweets_df.csv -> This is the resulted tweets data after applying all the filters on the initial tweets
• abnormal_evenst_60_60.csv -> abnormal events for the filtered tweets observed from an hour before and after the event
• abnormal_evenst_2-60.csv -> abnormal events for the filtered tweets observed from 2 minutes before and 15 minutes after the event

Packages to install:

Please refer to the requirement.txt for all the packages required for the analys. Please open the command prompt and run the command 'pip install -r requirements.txt'

Note: All the required outputs are displayed and not required to re run all the code to review teh results.