Sentiment analysis for whatsapp using NLP

Sentiment analysis enables quick assessment of sentence content, allowing for easy identification of the emotional tone or polarity of text. Whether applied to social media comments, product reviews, or other forms of text data, it serves as a valuable tool. This paper focuses on developing a sentiment analysis system specifically tailored to the unique characteristics of WhatsApp data. The system employs machine learning and deep learning techniques to analyze the sentiment of text messages, detecting positive, negative, or neutral tones. The analysis helps in understanding user behavior, emotional patterns, and communication trends in various contexts, such as personal interactions, social groups, or customer service.