Twitter Sentiment Analysis Using NLP
تفاصيل العمل
Developed an NLP pipeline to classify tweets into positive, negative, and neutral sentiments. Performed text preprocessing, including cleaning, tokenization, stopword and punctuation removal. Applied VADER sentiment analysis for polarity scoring and automatic sentiment labeling. Implemented using Python, Pandas, NLTK, and AWS, with results exported as a clean CSV dataset. Built a function for real-time sentiment classification of new tweets.
مهارات العمل
