ONGOING PROJECT

-- TILL NOW , TWITTTER SENTIMENT ANALYSIS IS DONE , INSTAGRAM FACEBOOK IS LEFT

Goal

Building an end-to-end sentiment analysis system to monitor brand perception across social media platforms. The project involved processing millions of social media posts to extract meaningful insights about customer opinions and brand sentiment trends

Expected Outcomes

• Real-time monitoring of customer sentiment across multiple social media platforms
• Actionable insights for marketing and PR teams to improve brand reputation
• Automated reports highlighting sentiment trends and emerging topics
• Improved decision-making through data-driven sentiment tracking

Expected Key Features

• Text Preprocessing: Tokenization, lemmatization, stop word removal
• Feature Engineering: TF-IDF vectorization, word embeddings (Word2Vec
• Sentiment Classification: Naive Bayes, SVM, and LSTM neural networks