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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.