Reddit API · NLP · Discussion Intelligence

Reddit Pulse Lab

A Reddit discussion-intelligence app that turns subreddit posts into pain-point themes, keyword signals, engagement patterns, and similar-thread recommendations.

Open Live Demo

PythonStreamlitReddit APINLPCosine Similarity

Problem

Reddit contains valuable public discussion signals, but raw API responses are deeply nested, paginated, noisy, and hard to interpret directly. A user needs a clean way to turn posts into themes, keywords, related threads, and exportable insights.

Solution

I built a Streamlit app that fetches Reddit JSON, combines paginated records, cleans text, creates word vectors, normalizes them, computes cosine similarity, labels pain-point themes, and presents the output as a productized analytics dashboard.

Core Features

Reddit public JSON ingestion

Demo-data fallback for reliable portfolio demos

Uploaded Reddit JSON support

Two-phase text cleaning

Keyword usage tracker

Multi-keyword comparison

TF-IDF distinctive vocabulary

Cosine similarity recommendations

Similarity heatmap

NLP pipeline walkthrough

Pain-point theme classification

Exportable analyzed CSV

What It Demonstrates

This project demonstrates API ingestion, JSON normalization, text preprocessing, vectorization, cosine similarity, lightweight NLP, product analytics, and dashboard design.