Performing text analytics to comprehend the sentiments mentioned in Tweets, as well as applying proper pre-processing for text data and creating 15 word clouds for each type of sentiment (negative, neutral, and other).Finally, the top 5 MOST USED WORDS for each emotion type throughout the whole dataset are displayed.
krishnakrish457/Twitter-US-Airline-Sentiment-Analysis
Performing text analytics to comprehend the sentiments mentioned in Tweets, as well as applying proper pre-processing for text data and creating 15 word clouds for each type of sentiment (negative, neutral, and other).Finally, the top 5 MOST USED WORDS for each emotion type throughout the whole dataset are displayed.
Jupyter Notebook