Explores and runs a sentiment analysis using VADER approach on about 25k tweets mentioning @Dell to label each tweet as either positive, negative or neutral.
VADER (Valence Aware Dictionary and sEntiment Reasoner)
- Uses "bag of words" approach
- Removes stop words
- each word is scored and combined to give a total score
- However, this model does not account for the relations between texts
Steps & Modules:
- pandas - Performs EDA
- matplotlib and seaborn - visualization
- nltk’s SentimentIntensityAnalyzer- - runs VADER model
- Labels tweets as positive, negative or neutral
- wordcloud - to build wordcloud
- Interesting insights from further EDA
This is work in progress notebook, more analysis to come! Thanks