GitHub topics: sentiment-classification

Repositories

alpacamale/market-review-classification

Sentiment Classification on online marketplace reviews

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TarunSingh2002/Youtube-Comments-Sentiment-Analysis

This project leverages deep learning transformers to classify YouTube comments into six distinct emotions.

Language: Jupyter Notebook - Size: 134 KB - Last synced at: 4 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 0

benjaminjvdm/Airline_Sentiment_Dashboard

This repository contains a Streamlit dashboard used to analyze the sentiments of tweets about US airlines. The application displays visualizations and breakdowns of tweet sentiment, time of day, airline choice, and word cloud for specific sentiments.

Language: Python - Size: 3.58 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

ayushi-p/nlp-analysis

This project applies Natural Language Processing (NLP) techniques to analyze public sentiment regarding the Russia-Ukraine conflict. By examining real-time social media data from platforms like Twitter and Reddit, the goal is to generate actionable insights that can help stakeholders refine their communication strategies and respond effectively.

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Sujith-DA279/Quant_Financial_Analytics

An in-depth analysis of stock market behaviour for major tech companies (Apple, Google, and NVIDIA) to identify opportunities for trading strategies around earnings announcements

Size: 1.61 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cmasch/cnn-text-classification

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 118 - Forks: 36

danielegrattarola/twitter-sentiment-cnn

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

Language: Python - Size: 31.3 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 156 - Forks: 51

Jorffy/DAIE

Code for "Dual-Level Adaptive Incongruity-Enhanced Model for Multimodal Sarcasm Detection".

Language: Python - Size: 183 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 20 - Forks: 0

tlkh/text-emotion-classification

Archived - not answering issues

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 200 - Forks: 80

himanshuagrawal18/SentimentBasedProductRecommendationSystem

Find top 5 recommended products for a given user of an e-commerce platform using collaborative filtering and sentiment analysis to increase sales.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT

Finetuning BERT in PyTorch for sentiment analysis.

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 22 - Forks: 9

AsadiAhmad/Sentiment-Analysis-N-Gram

Sentiment Analysis based on N-Gram probabilities.

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andi611/Mockingjay-Speech-Representation

Official Implementation of Mockingjay in Pytorch

Language: Python - Size: 1.56 MB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 54 - Forks: 12

narolski/filmwebplus

Dataset of Polish movie reviews used for document-level sentiment classification.

Size: 39.6 MB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

Senimtra/robo-reviews

AI-powered video game review analysis using sentiment classification, genre clustering, and summary generation. 🎮📈✨

Language: HTML - Size: 94.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AsadiAhmad/Sentiment-Analysis

Sentiment Analysis with Verctoring and Clustering Methods

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somebody1880/Social-Media-Sentiment-Analysis

Social media sentiment analysis using tweets involves analyzing tweet data to determine public sentiment (positive, negative, or neutral) using natural language processing (NLP) and machine learning techniques.

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carloocchiena/python_seo_automation_pack

Package of Python script useful to automate Search Engine Optimization

Language: Python - Size: 43 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

aryansh3lke/trendscope

An AI tool to gain insight into X (Twitter) trends through web-scraping, natural language processing, and abstractive summarization.

Language: TypeScript - Size: 7.53 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

siddhesh-desai/YoutubeCommentClassifier

A flask application and API that fetches Youtube comments from a video and classifies them on users need.

Language: Jupyter Notebook - Size: 384 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

nexustech101/sentiment-analysis-api

📈 A lightweight FastAPI project for sentiment analysis. It exposes a REST API to analyze text input and categorize sentiments like positive, negative, neutral, and more — with confidence scores. Built with scalability and modularity in mind, this project follows best practices and includes error logging, tests, and clean structure. 🚀

Language: Python - Size: 65.4 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

JackTheProgrammer/Working-with-Text-Classification

My personal portfolio projects to work with NLP data for classification and analysis using ML and deep learning

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oliverguhr/german-sentiment-lib

An easy to use python package for deep learning-based german sentiment classification.

Language: Python - Size: 26.4 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 60 - Forks: 7

Infinitode/CRSD

A synthetic customer review sentiment dataset for sentiment analysis generated using different AI models.

Size: 83 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

misha345a/Docker_Sentiment_Predictor

A Dockerized Flask app that predicts sentiment based on user-inputted text.

Language: Python - Size: 20.5 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

Mahendra357/Analysis-of-Amazon-Cell-Phone-Reviews-Using-NLP-Technique

The Amazon Cell Phone Review Sentiment Analysis project is a Flask-based web application that classifies Amazon cell phone reviews as positive or negative using a machine learning model powered by NLP techniques. Users can enter a review, analyze its sentiment with a single click, and view the result in real-time.

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lukasschr/lm-sentiment-analyzer

A standalone backend solution for sentiment analysis of textual data. The sentiment is determined using language models, with the flexibility to choose between different models.

Language: Python - Size: 7.81 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ShankyTiwari/NLP-sentiment-analysis-in-python

Creating a sentiment analysis machine learning model in python

Language: Python - Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 3

KhaledAshrafH/ChatGPT-Sentiment-Analysis

This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 1

VictoorV/movie_classif_lstm

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LuluW8071/Text-Sentiment-Analysis

Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers

Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 2

MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Language: Python - Size: 60.5 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 54 - Forks: 17

jiya19g/Sentio-Sentiment-Analysis-Model

sentiment analysis web app

Language: Python - Size: 33.2 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 2

tomalexsmith/Bitcoin-sentiment-analysis

Contains code used for my undergraduate dissertation research project centred around sentiment analysis of the Bitcoin cryptocurrency

Language: Jupyter Notebook - Size: 687 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

thinkphp/sentiment-analyser

A full-stack web application that analyzes the sentiment of user-provided text, delivering insightful sentiment metrics and visualizations. The app utilizes Flask for building the backend API and Next.js for a responsive and dynamic frontend interface. It processes input text, classifies sentiments into positive, negative, or neutral categories, an

Language: Python - Size: 16.7 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

JBris/sentiment_analysis_examples

Several examples of sentiment analysis algorithms for textual data.

Language: Python - Size: 160 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

khalid-alim/tv-transcript-analysis-p1

Scrapes TV show transcripts, cleans them, and analyzes police portrayals using NLP. Built for research.

Language: Python - Size: 107 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

faustinopsy/twitersentimento

analisador de sentimentos desenvolvido em PHP, que utiliza a biblioteca PHP-ML para construir e treinar modelos de classificação (neste caso, utilizando o algoritmo Naive Bayes) para identificar o sentimento de textos – por exemplo, se um tweet é positivo, negativo ou neutro.

Language: PHP - Size: 3.05 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

berksudan/Sentiment-Analysis-on-E-Commerce

Crawled Amazon E-Commerce Website, analyzed & visualized intents of customers. Used: NLP, PyQT4, Python 3, Beautiful Soup 4.

Language: Python - Size: 1.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 7 - Forks: 1

amaurits/MultiLexScaled

Lexicon-based sentiment analysis, using multiple lexica and scaled against representative text corpora

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muwudev/beer-advocate-reviews-analysis

Analyzing beer reviews using R and Python to uncover insights about breweries, user preferences and beer styles

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jamespeilunli/clarity-ai

Depression and anxiety detection on social media with ML - first place in UTD's 2024 AI workshop

Language: CSS - Size: 101 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 11 - Forks: 1

skmirajulislam/NLPulse-AI

Sentiment Analysis Web Application using Flask and ML 🔥

Language: HTML - Size: 103 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

aryansk/Customer-Segmentation-Analysis

Advanced customer segmentation project using K-Means clustering to analyze customer behavior based on annual income, spending score, and age.

Language: Jupyter Notebook - Size: 290 KB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

aryansk/Mobile-Product-Sentiment-Analyzer

A comprehensive sentiment analysis tool that analyzes mobile product reviews using Natural Language Processing (NLP) techniques and provides detailed visualizations of customer sentiment patterns.

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aniass/Sentiment-analysis-reviews

Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).

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naksha2-2/NLP_PROJEC

The Word Visualization project is designed to help you analyze and visualize text data. By transforming raw text into meaningful visual representations, it allows you to gain insights into word frequency, relationships, and overall patterns within the text.

Language: Python - Size: 59.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Reilly-ConceptsCognitionLab/Gaslighting

Gaslighting: An R Package for Detection of Gaslighting in Text Samples

Language: R - Size: 14.1 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

HugoBlair/NZSentimentAnalysis

This is a comprehensive sentiment analysis and topic classification system for New Zealand-focused subreddits, combining natural language processing, machine learning, and data visualization to analyze discussions across various New Zealand communities on Reddit.

Language: Python - Size: 69.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

cwdwiggins/Yelp_Sentiment_Analysis_Project

Sentiment analysis project using NLP on 20,000 Yelp reviews. Purpose is to gain a strong understanding of NLP and to build a useful tool to help developers understand how their product resonates with their user base.

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izam-mohammed/Mood-Reader

An End-to-End production ready application for predicting the the sentiment of a sentence. 📝 It covers collecting data, processing it, and training a model to understand sentiments and deployment 🚀

Language: Jupyter Notebook - Size: 3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

Richardbnk/Generative_AI

Study for Generative AI

Language: Python - Size: 12.7 KB - Last synced at: about 18 hours ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tkxwaweru/construct_assist

A web application that uses sentiment analysis to recommend construction service providers and professionals in Kenya.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

emkr-13/tampilan_ta

Tampilan Awal Desain Sentimen dan Topik Modeling TA

Language: Python - Size: 9.76 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

riejohnson/ConText

ConText v4: Neural networks for text categorization

Language: C++ - Size: 38.3 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 122 - Forks: 14

qrcodeTH/Sentiment-Classification-of-Thai-NBA-Comments-Using-WangchanBERTa-Finetuned

Thai NBA Fan Comment Sentiment Classification

Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shivamratti13/youtube-comment-analysis

This project analyzes YouTube video data using the YouTube Data API and a fine-tuned DistilBERT model to classify comment sentiments as Positive, Negative, Neutral, or Can't Detect. Featuring 93.45% accuracy, it visualizes results with bar and donut charts and is deployed as an interactive Streamlit web application for real-time insights.

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sarahloree/Project-6---Stock-Market-News-Sentiment-Analysis-Summarization

This is the sixth and final project I completed as part of the Introduction to Natural Language Processing Module from my post-graduate certification in AI/ Machine Learning from University of Texas' McCombs School of Business.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

manahiliqbal/Sentilect

Sentilect is an intelligent sentiment analysis tool designed to automatically evaluate and interpret the emotional tone of text data. By leveraging advanced natural language processing models, Sentilect analyzes user reviews, feedback, and comments to automate review process.

Language: JavaScript - Size: 36.9 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

adam-aalah/Tweet-Sentiment-Classification

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

simranjeet97/Innovative-Sentiment-Analysis

I created a new technique to do sentiment analysis with 98% probability using multiple techniques combined to from a new method. I made a video on this whole project and show you, how “Next Gen Sentiment” is much better then NLTK, TEXTBLOB or LLMs.

Language: Jupyter Notebook - Size: 634 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

GaneshKotaSLU/Customer-Churn-Prediction

The core purpose of this study is to find the impact of Sentiment Analysis in predicting customer churn for the e-commerce industry by employing different predictive models. Furthermore, the study is also focused on observing which model is best in a more accurate prediction for determining the churn rate of customers.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

saraivaufc/sentiment-analysis-lstm

Sentiment Classification with Natural Language Processing on Recurrent Neural Networks

Language: Python - Size: 134 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

collab-uniba/Senti4SD

An emotion-polarity classifier specifically trained on developers' communication channels

Language: R - Size: 5.34 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 48 - Forks: 18

martinp95/sentiment_classification

This project uses a fine-tuned DistilBERT model to classify the sentiment of text data. It includes a batch application that allows users to input multiple phrases and get their sentiment classification. The project is designed to be easy to use and extendable for various sentiment analysis tasks.

Language: Python - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dakidarts/emotion-sentiment-analysis-api

🧠 Unlock text insights with our Emotion Sentiment Analysis API! 🌍 Detect sentiment (😊 positive, 😐 neutral, 😠 negative) in 6 languages and identify 28 emotions 🎭 in English. Elevate customer experience and drive smarter decisions! 🚀

Size: 7.28 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

0x0be/scrapeadvisor

A user-friendly python-based GUI which provides sentiment analysis of users' reviews toward a specific TripAdvisor facility

Language: Python - Size: 650 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 28 - Forks: 7

anushka025/Sentiment-Analysis-of-E-health-Trends-

Sentiment Analysis of E-health Trends on Twitter

Language: Python - Size: 45.9 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

amiruzzaman1/Deep-Learning-and-Traditional-Algorithms-for-Effective-Sentiment-Analysis

This project focuses on performing sentiment analysis on Twitter data using a variety of machine learning and deep learning techniques. It compares the effectiveness of traditional algorithms and deep learning models in analyzing sentiment trends across a large-scale dataset.

Size: 3.91 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Pegah-Ardehkhani/Corona-Virus-Tweets-Sentiment-Analysis-and-Prediction

Analysis and Prediction of the Corona Virus tweets Sentiment Using Deep Learning Models and Plotly Library

Language: Jupyter Notebook - Size: 6.41 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0

mohammad95labbaf/TransformerSentimentAnalysis

Sentiment analysis on tweets using transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and XLNet with evaluation metrics.

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Nirikshan95/Sentiment-Analysis

Language: Jupyter Notebook - Size: 438 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Dada-Tech/movie-review-sentiment-analysis

Movie Review Sentiment Analysis | Built in Flask and Deployed to Docker

Language: Jupyter Notebook - Size: 45.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

aditeyabaral/lok-sabha-election-twitter-analysis

Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.

Language: Jupyter Notebook - Size: 59.3 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1

JingChunzhen/adversarial_multitask_learning

sentiment analysis on multi-tasks using adversarial network

Language: Python - Size: 201 KB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 2

sofiasawczenko/analyzing_text_sentiment

Project that preprocess textual data using Python libraries such as NLTK, TextBlob, and Newspaper3k. It covers how to scrape articles, clean and process text data, and analyze its sentiment.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

bgunyel/nlp-fun

NLP Fun

Language: Python - Size: 228 KB - Last synced at: 2 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Ailln/sentiment-analysis

😄😐😠 情感分析（使用 emoji 可视化）

Language: Python - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 0

elequaranta/Twitter-Sentiment-Analysis

Final project for class Data Mining and Text Mining; University of Illinois at Chicago (Fall 2023); 1st year of Master's Degree in Computer Science coursework.

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

TomTolleson/sentiment-analysis

A sentiment-analysis model classifying text based on Hugging Face Transformers

Language: Python - Size: 36.1 KB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Thaiebu/Llama-3.1-8B-Empathetic-responses_unsloth

A fine-tuned Llama model designed to deliver empathetic responses, seamlessly integrated with sentiment analysis to deeply understand and adapt to emotional nuances.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning

This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 102 - Forks: 28

ahmadara/Text-classification-with-ParsBERT

In this project, we attempted to analyze users' sentiments on Twitter. For this purpose, we utilized the parsBERT model

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Zion-Dev1/restaurant-reviews

Let's you post your review about a fictional restaurant 😋🍽️

Language: Jupyter Notebook - Size: 297 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

jiya3609/SentimentAnaysis

Training ML models to classify sentiments

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

esra-polat/turkish-nlp-ngrams-collacations-classifiers-ner-sentiment

Collocations, n-grams, deep learning classifiers, named entity recognition, sentiment classification.

Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

kameshcodes/reviews-sentiment-analysis-project

A Streamlit web app designed for end users to classify text reviews as positive or negative using an LSTM model trained on movie review data. The app is Dockerized for easy deployment and includes CI/CD integration for streamlined updates and continuous improvement.

Language: Jupyter Notebook - Size: 76.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0