AtiUsm/MuseASTE

Aspect Sentiment Triplet Extraction Annotations for the MuSe-Car Dataset

Language: Jupyter Notebook - Size: 58.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 3 - Forks: 0

abrahammachad/imdb-sentiment-lstm

🎬 Analyze movie reviews using LSTM for accurate sentiment classification, helping you understand viewer opinions with a balanced dataset.

Size: 40.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

TheRed-25/IMDB-Sentiment-Analysis-LSTM

🔍 Analyze IMDB movie reviews using LSTM for binary sentiment classification with high accuracy and custom prediction capabilities.

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

exist52/ML-BOOTCAMP-25

learning how to code.

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Sachin-0001/MultiSense-NLP

Classifies and detects text entered into major labels (emotion , violence, hate ) and minor labels ( happy , sad, physical_violence, hate_speech etc)

Language: Python - Size: 138 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

Seyha1007/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

Language: R - Size: 193 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

El-Alexander/nlp-sentiment-analysis

🎬 Analyze IMDb movie reviews for sentiment using classical and deep learning models, uncovering insights through a comprehensive data science workflow.

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

23091v/Gradient-Network-Bot

Automated bot that utilizes gradient networks to optimize and enhance machine learning algorithms. Designed to streamline the model training process and improve accuracy of predictive analytics tasks.

Size: 6.84 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 1

laugustyniak/awesome-sentiment-analysis

Repository with all what is necessary for sentiment analysis and related areas

Size: 36.1 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 542 - Forks: 110

goutam16x/FINAL-AI-ML-results

📊 Analyze Airbnb reviews using AI/ML techniques to classify sentiment and enhance your understanding of user feedback with Python and Jupyter Notebooks.

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

mr-ravin/cerebral_lstm 📦

This repository includes the Pytorch implementation of Cerebral LSTM as a PIP Package.

Language: Python - Size: 25.2 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

lihanghang/Deep-learning-And-Paper

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

Language: Jupyter Notebook - Size: 564 MB - Last synced at: 7 days ago - Pushed at: about 6 years ago - Stars: 90 - Forks: 40

Se00n00/Sequence_classification_from_scratch

A Transformer-based emotion classification model built completely from scratch in PyTorch. This project implements all core Transformer components—such as attention, positional encoding, and encoder layers—without relying on pre-built model classes. It's designed to provide a deeper understanding of how Transformer works

Language: Jupyter Notebook - Size: 63 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

Riz-22/trustpilot

trustpilot reviews sentiment scraper

Language: JavaScript - Size: 12.7 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

shibing624/pysenti

Chinese Sentiment Classification Tool. 情感极性分类，基于知网、清华、BosonNLP情感词典，易扩展，基准方法，开箱即用。

Language: Python - Size: 4.66 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 100 - Forks: 11

kupolak/afinn

Sentiment analysis in Elixir.

Language: Elixir - Size: 48.8 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 2 - Forks: 1

microsoft/augmented-interpretable-models

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

Language: Jupyter Notebook - Size: 189 MB - Last synced at: 8 days ago - Pushed at: 17 days ago - Stars: 44 - Forks: 11

lior-benjman/DataSC-Essences

Data Science Essences project- steam store -Highest score out of 15 projects.

Language: Jupyter Notebook - Size: 54.1 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

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: 62.5 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

LatiefDataVisionary/data-science-capstone-project-college

Language: Jupyter Notebook - Size: 61.9 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 1

tinsaeabreham45/fine_tune_bert

comment classifier for X using Bert Fine tuned model

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ruanchaves/hashformers

Hashformers is a framework for hashtag segmentation with Transformers and Large Language Models (LLMs).

Language: Python - Size: 23.6 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 76 - Forks: 5

baidu/Senta

Baidu's open-source Sentiment Analysis System.

Language: Python - Size: 26 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1,990 - Forks: 370

asloth/emotion-recognition

Implementing a neural network for emotion detection in text

Language: Jupyter Notebook - Size: 149 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

yashlad27/RAIN

🌧️ RAIN — Real-time AI-powered Insight for News

Language: Python - Size: 450 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

cleopatra-itn/fair_multimodal_sentiment

Code and Splits for the paper "A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods", In Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding (MMPT ’21), August 21, 2021,Taipei, Taiwan

Language: Python - Size: 631 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 6

aniass/Sentiment-analysis-reviews

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

Language: Jupyter Notebook - Size: 8.77 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 2

Kalashi-Saed-Collaborations/SentimentDrivenCommunityDetection

This repository contains datasets from our paper, Sentiment-Driven Community Detection in a Network of Perfume Preferences, analyzing perfume preferences based on positive user reviews from Atrafshan, including User Reviews and Perfume Attributes, Emoji Mapping Dictionary, and Sentiment Classification Results.

Size: 17 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

maazkareem-ai/Sentiment-Analysis-for-Mental-Health-Monitoring-using-ML

A Machine Learning–based research project that detects and classifies mental health conditions such as Normal, Depression, Anxiety, Stress, Bipolar, Suicidal and Personality disorder from social media text using sentiment analysis. Developed as a final-year thesis by Maaz Kareem, BSCS Gold Medalist, University of Buner, Pakistan.

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mattr-ta95/gym-review-analysis

A comprehensive NLP toolkit for analyzing gym customer reviews using topic modeling, sentiment analysis, and emotion detection to extract actionable business insights.

Language: Python - Size: 44.9 KB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

abikaki/awesome-speech-emotion-recognition

😎 Awesome lists about Speech Emotion Recognition

Size: 6.03 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 99 - Forks: 6

RubixML/Sentiment

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

Language: PHP - Size: 34 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 115 - Forks: 14

fp1acm8/SER

Developing a Speech Emotion Recognition system starting from EMOVO Corpus audio samples

Language: Python - Size: 236 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

Ygarcia60/FINAL-AI-ML-results

Repo for work and programs made during AI/ML research

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

holatung/Kumlinda

Fortifying Community Truth: Developing Lexicons on Tech Facilitated GBV and Model for Low-resourced African Languages ( Hausa, Igbo, Yoruba and Swahili)

Size: 22.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

niloydebbarma-code/LORA-FINETUNING-BANGLASENTI-XLMR-GOOGLE-TPU

First open-source LoRA fine-tuning of BanglaSenti on XLM-RoBERTa-base for Bengali sentiment analysis, trained with Google Cloud TPUs. Includes code, configs, and reproducible results.

Language: Python - Size: 4.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

bentrevett/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Language: Jupyter Notebook - Size: 1.64 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 4,547 - Forks: 1,183

lucaszhuang1210/Multinomial-Naive-Bayes-Classifier

An exploration-driven research study on improving the Multinomial Naive Bayes (MNB) model for sentiment classification.

Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

srisaihariharan/MIC_sentiment_analysis_v

Sentiment analysis of IMDb movie reviews using Python, Scikit-learn, and TF-IDF.

Language: Jupyter Notebook - Size: 118 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

JoKoum/Machine-Learning-Project

Semester project for the Machine Learning class of the MSc in Artificial Intelligence

Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Aya-Alhamwe/SentimentAnalysisIMDB

SentimentAnalysisIMDB analyzes movie reviews from the IMDB dataset

Language: Python - Size: 31.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

FrienDotJava/telegram-review-sentiment-analysis

[Deployed in Streamlit] A machine learning NLP project analyzing Telegram app reviews from Google Play Store

Language: Jupyter Notebook - Size: 93.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

lashm4/Uber-Sentiment-Classification-Clustering

Language: Python - Size: 4.51 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

YEthYuan/mini-Llama2

Mini-LLaMA2: A Compact Implementation of LLaMA2

Language: Python - Size: 3.25 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

fhamborg/NewsMTSC

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

Language: Python - Size: 4.6 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 155 - Forks: 21

dylee9/feels-trader

A sentiment-driven trading algorithm using deep learning to analyze social media sentiment from StockTwits, Twitter, and Reddit for stock market predictions. Built with Python, TensorFlow/Keras, and MySQL.

Language: Python - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 2

RezaGooner/PerSent

Python library for analyzing Persian texts. With the ability to analyze customer opinions and their offer status, analyzing the seven emotions in Persian sentences at the moment.

Language: Python - Size: 233 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 1

rantsandruse/pytorch_lstm_03classifier

LSTM based sentiment classifier in pytorch; Transformer an LSTM tagger to an LSTM classifier in 5 lines of code.

Language: Python - Size: 42 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

c-azb/comments-analysis-llm-django

Web integration of distilBert and llama for comments sentiment classification and overall summary.

Language: Jupyter Notebook - Size: 368 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hausanlp/NaijaSenti Fork of shmuhammadd/NaijaSenti

This is a repository for NaijaSenti. A Lacuna Funded Project for the development of sentiment corpus for four Nigerian languages: Igbo, Hausa, Yoruba and Pidgin.

Size: 29.7 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 33 - Forks: 25

NakerTheFirst/Sentiment-analysis

Analyse social media sentiment of OpenAI using LinkedIn data with NLP and transfer learning

Language: Python - Size: 20.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

firojalam/LlamaLens

This repository contains the resources, code, and documentation for LlamaLens, a specialized multilingual large language model (LLM) designed to analyze news and social media content effectively. LlamaLens supports multiple languages, including Arabic, English, and Hindi, and is tailored for diverse tasks such as sentiment analysis, misinformation.

Language: Python - Size: 102 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 1

ialwayslikedgrime/deep_learning_exam_implementation

Keras Tensorflow Multi Input Multi Output model for sentiment analysis task on a Hotel Reviews Dataset. Uses LSTM (Long short-term memory) Recurrent Neural Networks Feedforward Neural Networks. Clear explanations of Design Choices

Language: Jupyter Notebook - Size: 152 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Infinitode/CRSD

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

Size: 284 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: 12 months ago - Stars: 16 - Forks: 1

umitkaanusta/TIA

Your Advanced Twitter stalking tool

Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 150 - Forks: 22

sukrutrao/Fast-Dawid-Skene

Code for the algorithms in the paper: Vaibhav B Sinha, Sukrut Rao, Vineeth N Balasubramanian. Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification. KDD WISDOM 2018

Language: Python - Size: 37.1 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 44 - Forks: 13

SupratikB23/Sentiment-Analysis-and-Recommendation-System-for-App-Review-Data

Sentiment Classifier to analyze and predict the sentiment (positive, negative, or neutral) of user reviews collected from 1 million Google Play Store entries.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

herrerovir/gpt2-tweet-sentiment

Fine-tuned GPT-2 model to classify tweets by sentiment. Reliable and fast sentiment analysis for social media.

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MQasim-Zafar/Influencer_Marketing_Analytics_Sentiment_Analysis

MSc. Business Analytics Dissertation Project

Language: Jupyter Notebook - Size: 8.05 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shubhro2002/YouTube-Comment-Sentiment-Emotion-Topic-Analysis

This project analyzes YouTube comments to extract insights about audience sentiment, emotions, sarcasm, and discussion topics. The pipeline combines text preprocessing, sentiment analysis, sarcasm detection, emotion classification, and topic modeling to deliver a comprehensive understanding of community engagement. Link to dataset given below.

Language: Jupyter Notebook - Size: 3.83 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

suhaib93102/Structured-Sentiment-Analysis-IIITD-NLP-PROJECT-

Built a cross-lingual sentiment analysis model over 8+ languages for monolingual and cross-lingual tasks, achieving Sentiment Graph F1 of 0.55 (cross-lingual) and 0.559 (monolingual) using RoBERTa with CRF for span extraction and polarity classification.

Language: Python - Size: 2.15 MB - Last synced at: 23 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sandeeppaldotnet/Sentiment-Analysis-with-Machine-Learning-AI

This repository provides a complete, practical example demonstrating how to build, train, and deploy a Sentiment Analysis machine learning model using ML.NET. The solution is divided into two parts: Console Application: Trains a multi-class sentiment classification model on sample text data (e.g., product reviews, tweets), evaluates its accuracy,

Language: C# - Size: 5.05 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

vazzajr10/Sentiment-Analysis-and-Topic-Modelling

The Sentiment Analysis and Topic Modelling of Tokocrypto Application Code Program

Language: Jupyter Notebook - Size: 391 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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 9 hours ago - Pushed at: about 3 years ago - Stars: 58 - Forks: 6

anishchapagain/imdb_deeplearning

Sentiment Classifier using Neural Networks & PyTorch.

Language: Python - Size: 657 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Enesbil/FineTuned-Conversation-Analyser

A project to classify customer intent, satisfaction, inquiry category and related metrics to evaluate the effectiveness of the AI Chatbot deployed by a business client for their website. It also includes a pretty html page for manual labeling.

Language: HTML - Size: 30.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

fummicc1/Viary 📦

voicy diary application with sentiment analysis

Language: Swift - Size: 9.87 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

StephanAkkerman/fintwit-bot

FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, market trends, and portfolio tracking to help traders stay informed and make data-driven decisions.

Language: Python - Size: 5.35 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 115 - Forks: 29

Philippe-Guerrier/Real-Time-AI-Powered-Market-Sentiment-Dashboard

Real-Time AI Powered Market Sentiment Dashboard

Language: Python - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Cred1747/BERTopic-Tweet-Explorer

Tweet Explorer

Language: Python - Size: 64.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

scarface2257/the-art-of-command-line

Master the command line with "The Art of Command Line." Explore tips, tricks, and best practices for efficient file processing and everyday tasks. 🐙

Size: 1.63 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

ackwolver335/SentimentAnalysis-DL

A deep learning model designed for sentiment analysis by leveraging the power of ResNet and GoogleNet-inspired architectures. This hybrid model efficiently extracts high-level semantic features from textual data to classify sentiments into Positive, Negative, or Neutral categories.

Language: Python - Size: 42.2 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

fahim101420/TrendScope

Automate your business intelligence with TrendScope. This enterprise-grade pipeline streamlines dashboard creation, saving time and enhancing data insights. 🐙📊

Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Parth-Udawant/Sentiment-Analysis-using-DistilBERT

Language: Jupyter Notebook - Size: 3.88 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

wiktorszczepanik/title-review-sentiment-classifier

Sentiment classification model that analyzes review titles to determine their emotional tone.

Language: Jupyter Notebook - Size: 232 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

fitriaaif/bpom-sentiment-using-SVM

Analysis of public opinion sentiment toward BPOM's performance in supervising skincare products using SVM algorithms, as well as ADASYN and PSO methods

Language: Jupyter Notebook - Size: 6.36 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Inoxoft/whitelightning

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

Language: Python - Size: 259 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 393 - Forks: 5

Keshav1516/sentiment_analysis

Done the sentiment analysis using Twitter tweets data. Also done sentiment analysis using naive bayes.

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hrnrxb/Advanced-Sentiment-Classifier-RoBERTa-BiLSTM-Attention

Sentiment Analysis w/ RoBERTa + BiLSTM + Attention

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

NLP-kr/tensorflow-ml-nlp

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Language: Jupyter Notebook - Size: 154 MB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 200 - Forks: 102

hammadaslam1/reviews-classifier

This is my final year project "customer reviews classification and analysis system using data mining and nlp". It analyzes and then classifies the customer reviews on the basis of their fakeness, sentiments, contexts and topics discussed. The reviews are taken from various e-commerce platforms like daraz and amazon.

Language: Jupyter Notebook - Size: 78.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

playping777/ML-Spam-Detection-API

Detect spam emails easily with the ML-Spam-Detection-API. This FastAPI project uses machine learning for accurate spam detection. 🚀💻

Language: Jupyter Notebook - Size: 486 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

s4ngl/gantt

G4NTT is an AI-powered business optimization platform that transforms high-level key performance indicators (KPIs) into actionable startup strategies. By analyzing industry data, market sentiment, and financial metrics, we provide founders with the top ten actions to achieve their goals.

Language: Python - Size: 32.7 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

irineulucas/SentimenTA

SentimenTA is a sentiment analysis tool designed to analyze and interpret emotions and opinions from textual data. It utilizes natural language processing techniques to provide insights into the sentiment behind the text.

Size: 1000 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

NilAtabey/TalkTagger

TalkTagger is a web-based game that turns participants' chat logs into a Kahoot/Jackbox like game ➡️ find out more information on README.md

Language: Python - Size: 2.95 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

StarlangSoftware/SentimentAnalysis

Sentiment Analysis Library for Turkish

Language: Java - Size: 56.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

drisskhattabi6/Real-Time-Twitter-Sentiment-Analysis

This repo contains Big Data Project, its about "Real Time Twitter Sentiment Analysis via Kafka, Spark Streaming, MongoDB and Django Dashboard".

Language: Jupyter Notebook - Size: 5.09 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 5

adnyaaap/deep-prove

DeepProve is a framework that enables fast verification of neural network inference using zero-knowledge techniques. It supports various model types, proving their correctness efficiently while keeping data private. 🐙✨

Language: Rust - Size: 9.04 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

symongpt/twitter-analysis-app

This repository hosts a web application that analyzes tweets to recommend movies and songs based on public sentiment. Users can easily access real-time insights without scrolling through endless Twitter feeds. 🐙🌟

Language: Python - Size: 276 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

tim-toothed/multilingual-sentiment-SHAP

Explaining SHAP visual explanations for Multilingual Sentiment Analysis

Language: HTML - Size: 744 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Suhaila-Hassan/Sentiment-Classification

Classify comments into one of three emotions (anger, joy or fear), using logistic regression and naive bayes models, with count and tf-idf vectorization techniques.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

JuanSteban18/treels

TreeLS enhances your directory tree with Git integration, offering color-coded file statuses and smart filtering. Visualize your project structure effortlessly! 🌳💻

Language: Python - Size: 33.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

LasithaAmarasinghe/YouTube-Comment-Analysis

Sentimental Analysis of comments on YouTube videos. Classify comments as positive, negative, or neutral. Provide visualizations to display the distribution of the sentiments.

Language: HTML - Size: 6.79 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Anshul-ydv/sentiment-analysis-of-rare-metals

Sentiment analysis tool that classifies financial news headlines related to rare elements as Positive, Negative, or Neutral using machine learning and NLP.

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a-anuj/movie-review-sentiment-analysis

A simple binary sentiment classifier built using neural networks to predict whether a movie review is positive or negative.

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

kaveenkumar/Speech_Recognition_and_Emotion_Detection_in_English_and_German

Python project for Speech-to-Text and Sentiment Analysis. Supports English and German language!

Language: Python - Size: 280 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 18 - Forks: 11

waqarmunawar7/-Sentiment-Analysis-from-Scratch-No-ML-Libraries-

This project implements a simple sentiment analysis classifier using logistic regression, trained using manual gradient descent, without relying on any machine learning libraries like scikit-learn or TensorFlow. It demonstrates end-to-end model development from raw text to evaluation.

Language: Python - Size: 10.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

eugengi/sentiment-api Fork of martinoywa/sentiment-api 📦

Exposed REST endpoint to perform sentiment analysis of text inputs using a roBERTa-base model.

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