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NLP Sentiment Analysis — result by Zain Abbas
NLP

NLP Sentiment Analysis

Multi-model sentiment analysis system classifying social media text with unique Neural Pulse dashboard.

Project Overview

A comprehensive sentiment analysis platform training 4 ML models and 1 LSTM simultaneously. Handles Twitter/social media text with full preprocessing pipeline, word cloud generation, and batch CSV analysis.

⚠ The Problem

Brands need automated sentiment monitoring across thousands of social media posts, product reviews, and customer messages to track public opinion in real time.

✓ The Solution

Complete NLP pipeline with NLTK preprocessing, TF-IDF vectorization, 4 ML models + LSTM comparison. Neural Pulse dark dashboard with word cloud generation and batch analysis.

Results & Outcomes

Multi-model comparison shows TF-IDF + Logistic Regression competes with LSTM on short text. Word cloud visualization of sentiment patterns.