{"repo":"AmirhosseinHonardoust/Customer-Sentiment-Intelligence-Platform","free":true,"listed":false,"github":"https://github.com/AmirhosseinHonardoust/Customer-Sentiment-Intelligence-Platform","clone":"git clone https://github.com/AmirhosseinHonardoust/Customer-Sentiment-Intelligence-Platform.git","description":"An enterprise-grade NLP + Streamlit + SQL platform for analyzing customer feedback. Performs automated sentiment detection, stores labeled reviews in SQLite, and delivers real-time dashboards with probability insights to support business, marketing, and product optimization decisions.","language":"Python","stars":22,"topics":["community-project","cost-of-living","dashboard","data-analysis","data-visualization","economic-analysis","inflation-tracking","local-data","open-data","pandas"],"license":"MIT","category":"dashboards-admin","readme_excerpt":"Customer Review Sentiment Intelligence Platform (NLP + Streamlit + SQL) The Customer Review Sentiment Intelligence Platform is a production-ready analytics application that combines Natural Language Processing (NLP) , SQL , and interactive dashboards to deliver actionable insights on customer feedback trends. Designed for content, marketing, and operations teams, it provides data-driven sentiment intelligence to enhance decision-making, brand perception tracking, and product quality analysis. --- Executive Summary Organizations generate thousands of customer reviews daily, yet most remain underutilized. This solution bridges that gap, automatically classifying reviews as positive or negative , quantifying sentiment confidence, and visualizing feedback patterns over time. Business Impact: - Optimize product and service strategies based on real-time sentiment signals. - Identify pain points and satisfaction drivers per product category. - Streamline performance reporting with ready-to-present dashboards. - Enable faster decision-making through AI-powered review analysis. --- System Architecture --- Repository Structure --- Core Capabilities - Automated Sentiment Detection Real-time text classification using TF-IDF + Logistic Regression. - Interactive Review Exploration Filter and visualize feedback by product, time, or rating. - Confidence-Based Scoring Probability-weighted results for transparent interpretation. - Integrated SQL Backend All processed reviews are persisted in S","default_branch":null,"files":null,"tree":[],"storefront":"/r/AmirhosseinHonardoust","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AmirhosseinHonardoust/Customer-Sentiment-Intelligence-Platform/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}