基于UIE的舆论情感分析Web系统，前后端分离式架构部署，支持单文本属性级情感分析及上传txt文件进行批量情感分析，并支持分析结果的可视化展示。 技术栈：后端：FastAPI + UIE；前端：Vue + ElementUI + Echarts。

Web Page Inspection Tool UI. Article Summary, Sentiment Analysis, Keyword Extraction, Named Entity Recognition & Spell Check

LSTM-based sentiment analysis with Streamlit web interface. Real-time text sentiment prediction using PyTorch deep learning model trained on IMDB dataset. Achieves 86.14% accuracy with modern UI and batch processing capabilities.

An open-source, decentralized AI agent platform built with Next.js, FastAPI, and Transformers. Empower everyone with sentiment analysis, extensible multi-agent support, and a modern UI join the community to shape the future of AI!

AI-powered stock analysis system with React Web UI Gemini/DeepSeek multi-model, technical indicators, sentiment analysis, backtesting, multi-channel notifications (WeChat/Feishu/Telegram/Email)

A sentiment analysis project for Persian-language SnappFood reviews using Transformer models (ParsBERT), traditional machine learning methods, and deep learning architectures (RNN, LSTM, GRU). Includes an interactive UI built with Streamlit for review prediction.

A tool for fashionista's to explore the products and find their wears. We are planning to implement sentiment analysis, Recommendation system and customer segmentation for businesses as well customers to have a good experience. Building a great UI/UX for our businesses to guide people to their products and associate our market growth with diff analysis.

🔥 Sentiment analysis on Turkish store reviews using LSTM, BiLSTM, and GRU models. Interactive UI built with Gradio.

No description available

A project for analysis of sentiments of comments and reviews in social media posts and a UI dashboard for the same.

An iOS App that shows images of attractions in a city, implementing Yelp API and Tinder UI to create an itinerary of your day. Utilized TSP to form most efficient itinerary, as well as Apixo for weather and Sentiment Analysis.

this project show the sentiment analysis of text data using NLP and Dash. I used Amazon reviews dataset to train the model and further scrap the reviews from Etsy.com in order to test my model and creating a web-based UI DASHBOARD to gain real time analysis on how customers feel about Client’s products.

Marketplaces parser with sentiment analysis and UI in Telegram

A learning platform , how sentiment analysis works in storytelling and game best ui

Project work for the course ID2223. Sentiment analysis for YouTube comments and a UI to generate a positive to negative comment ratio from a YouTube video link.

Starting from Feb 24th, 2022, Russia began an open-military conflict of Ukraine. From then on, related rumors spread online and make public confused about what is actually going on in the frontline. In this project we tend to figure out what people on social media care about, and their opinions about the conflict. We plan to prepare a new dataset relating to this issue from twitter and label the dataset automatically with different sentimental analysis tools. Then analyze the relationship between the results and data characteristics like date, location, keyword and sentiment. Finally we will apply Latent Dirichlet Allocation(LDA) model to different groups and develop a UI to visualize the result.

UI to test sentiment analysis on hotel reviews

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Twitter Sentiment analysis classified the tweets either positive or negative on the basis of previous datasets. The classification was done by using a naive Bayes classifier. Every day on Twitter million of users tweet their views, so it helps to classify all these tweets. We used Python for the programming language and Django framework for UI.

Web-scraping, sentiment analysis, and UI development

Sentimental Analysis of customer reviews using RPA

This is a sentiment analysis project with web UI.

Twitter Sentiment Analysis of a keyword with a React UI

SocialMediaSentimentDashboard An interactive dashboard for analyzing social media posts. Features engagement metrics, sentiment analysis using BERT, and activity tracking over time. Includes gradient UI inspired by Instagram and intuitive filtering for insights. Built with Python, Streamlit, Pandas, and Matplotlib.

Ready-to-use sentiment analysis app with pretrained model, Streamlit UI, and for social media monitoring and feedback analysis.

Sentiment analysis using BERT transformers + Gradio UI + Plotly visualizations. Processes text/CSV with NLTK preprocessing and PyTorch backend.

AI-powered full-stack web application for real-time customer feedback analysis using React (Vite), TypeScript, and Gemini API. Performs sentiment analysis, insight extraction, and automated feedback classification with a responsive production-ready UI.

SentiPulse is an advanced sentiment analysis tool that leverages AI to assess the emotional tone of text inputs from social media. It offers real-time processing, intuitive UI, and robust backend integration with Hugging Face for accurate sentiment predictions.

This project scrapes news articles, summarizes content using BERT or Gemini API, and provides sentiment analysis, key insights, and comparative analysis. It features a Flask API, Gradio UI, and TTS support for an interactive experience.

A high-performance analytics dashboard that parses data from Reddit and X (Twitter) to deliver real-time sentiment analysis and data visualization wrapped in a fluid, premium UI.