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: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 0 - Forks: 0

Anshul-ydv/Cartography_on_The_Bhagavad_Gita

Cartography on the Bhagavad Gita is a comprehensive NLP-based project that maps the philosophical and semantic landscape of the Bhagavad Gita. Using techniques like TF-IDF, BM25, Word2Vec, LSTM, and relation extraction, the project uncovers hidden relationships, sentiment patterns, and constructs a knowledge graph—without relying on large language

Language: Jupyter Notebook - Size: 51.4 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

NgHuyen137/Sentiment-Classification

A hybrid CNN-LSTM model for Vietnamese student feedback sentiment classification.

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janaghoniem/Social-Media-Sentiment-Analysis

This project uses deep learning and machine learning models to classify text sentiment as Positive or Negative. The models were trained for English and Arabic to ensure high accuracy for each language.

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 2

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 days ago - Pushed at: 4 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: 5.86 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 1

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: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

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: 6 days ago - Pushed at: 6 days 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 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

gregyjames/stocksentllm

Fine tuning an llm to predict stock sentiment based on headlines.

Language: Python - Size: 46.9 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

hfzdzakii/Dicoding-PoemSentimentClassification

This repo is a master submission for my Dicoding Final Project. Poem dataset used here was fully scraped by myself. Feel free to explore and I hope my work give you some insight!

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

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: 77.8 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

Huzyy/Sequential-Learning-Neural-Networks

Implementing Sequential Learning, specifically RNN and LSTM algorithms using TensorFlow/Keras to compare the different algorithms for sequence learning. Comparison analysis of a simple RNN and LSTM.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

rafaseto/SentiOpen

Analyzing Sentiments with GPT, Gemini and DeepSeek

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

songyouwei/ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Language: Python - Size: 3.71 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 2,069 - Forks: 528

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 worksfo

Language: Jupyter Notebook - Size: 36.8 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

baidu/Senta

Baidu's open-source Sentiment Analysis System.

Language: Python - Size: 26 MB - Last synced at: 10 days ago - Pushed at: 10 months ago - Stars: 1,971 - Forks: 370

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: 10 days ago - Pushed at: about 1 year ago - Stars: 4,512 - Forks: 1,181

aws-samples/analyzing-reddit-sentiment-with-aws

Learn how to use Kinesis Firehose, AWS Glue, S3, and Amazon Athena by streaming and analyzing reddit comments in realtime. 100-200 level tutorial.

Language: Python - Size: 3.48 MB - Last synced at: 2 days ago - Pushed at: about 4 years ago - Stars: 44 - Forks: 15

lyeoni/nlp-tutorial

A list of NLP(Natural Language Processing) tutorials

Language: Jupyter Notebook - Size: 1.39 GB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 1,376 - Forks: 264

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: 5.34 MB - Last synced at: 13 days ago - Pushed at: about 2 months ago - Stars: 103 - Forks: 27

shane-thomas/sentiment-analysis

a sentiment analysis model trained on BERT embeddings and Amazon Food reviews dataset that gives a 5 score label

Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

abdulfatir/twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Language: Python - Size: 2.33 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 1,609 - Forks: 610

soujanyaporia/multimodal-sentiment-analysis

Attention-based multimodal fusion for sentiment analysis

Language: Python - Size: 87.3 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 351 - Forks: 74

julian-8897/news_automation

News automation using Google News Python API + sentiment classifier/article summarisation

Language: Python - Size: 24.4 KB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0

hynas321/Review-Sentiment-Analysis-App Fork of 234750/CCS

Application utilizing Google Cloud AutoML API to categorize film reviews based on their sentiment

Language: Python - Size: 7.62 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

Swagath18/Personalized-Recommender

Language: Python - Size: 42 KB - Last synced at: 13 days ago - Pushed at: 23 days ago - Stars: 0 - 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: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

nibhasdongre/TEDsights

TEDsights is an end-to-end pipeline powered by Generative AI that transcribes, summarizes, and analyzes TED Talks to surface the most impactful ideas, sentiments, and emotions.

Language: Python - Size: 30.9 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

newking9088/product_recommendation_nlp_roberta_vader

Sentiment-Enhanced Product Recommendation System for E-Commerce: A Comparative Analysis of RoBERTa and VADER

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 29 days ago - Pushed at: 29 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: 10 days ago - Pushed at: almost 2 years ago - Stars: 94 - Forks: 10

davutbayik/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

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

awslabs/sagemaker-privacy-for-nlp

A solution that helps apply a privacy preserving mechanism to NLP data, using Amazon SageMaker.

Language: Jupyter Notebook - Size: 505 KB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 6

owenwienczkowski/sentiment-analysis-huggingface

A modular NLP pipeline for binary sentiment classification on IMDb movie reviews using Hugging Face Transformers. The project demonstrates scalable model evaluation, multilingual compatibility (tabularisai), and clean engineering practices.

Language: Python - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Ramtin-Karbaschi/PlateNumberDetection_and_SentimentAnalysis

A comprehensive implementation that demonstrates computer vision and NLP technologies. This project features an Automatic Number Plate Recognition (ANPR) system using YOLO-based models and a multi-phase sentiment analysis pipeline, built with PyTorch and modern deep learning practices.

Language: Jupyter Notebook - Size: 75.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Gattupalli-Saketh/Sentiment-Analysis-on-products-

Product reviews sentiment analysis.

Language: Jupyter Notebook - Size: 9.61 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jbeno/sentiment

Sentiment analysis of DynaSent and SST reviews using ELECTRA and GPT collaboration

Language: Jupyter Notebook - Size: 48.8 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 0

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: 4.59 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 151 - Forks: 21

MilaNLProc/feel-it

Sentiment analysis and emotion classification for Italian using BERT (fine-tuning). Published at the WASSA workshop (EACL2021).

Language: Python - Size: 37.1 KB - Last synced at: 24 days ago - Pushed at: 11 months ago - Stars: 27 - Forks: 5

abikaki/awesome-speech-emotion-recognition

😎 Awesome lists about Speech Emotion Recognition

Size: 6.03 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 84 - Forks: 4

vukbatanovic/SentiComments.SR

A Sentiment Analysis Dataset of Comments in Serbian

Language: Python - Size: 276 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

nedaghohabi/SentimentAnalysis_IMDBMovieReviews Fork of PouriaDan/SentimentAnalysis_IMDBMovieReviews

Sentiment classification of IMDb movie reviews into positive or negative labels. Final Project for Natural Language processing (CS6120 ) at Northeastern University

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

varun-suresh/experiments-with-gpt2

Experimenting with GPT-2 and BERT

Language: Jupyter Notebook - Size: 580 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aseel15/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

DemetersSon83/Spacy-Affect-Model

A Spacy model for measuring emotional affect.

Language: Python - Size: 6.88 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

rdenadai/sentiment-analysis-2018-president-election 📦

Análise de sentimentos relacionados aos candidatos a Eleição para a presidência de 2018

Language: Jupyter Notebook - Size: 216 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 47 - Forks: 11

Doragd/Text-Classification-PyTorch

Implementation of papers for text classification task on SST-1/SST-2

Language: Python - Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 66 - Forks: 10

YEthYuan/mini-Llama2

Mini-LLaMA2: A Compact Implementation of LLaMA2

Language: Python - Size: 3.25 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

NakerTheFirst/Sentiment-analysis

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

Language: Python - Size: 24.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

oliverguhr/german-sentiment

A data set and model for german sentiment classification.

Language: Python - Size: 85.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 67 - Forks: 13

mohdLabadi/cs3780-finalproject

A text classification pipeline of multiple models that predicts 28 human emotions from natural language.

Language: Jupyter Notebook - Size: 969 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

nivesayee/crypto-sentinel

Real-time cryptocurrency sentiment analysis platform

Size: 3.47 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

dialogue-evaluation/RuOpinionNE-2024

Codalab competition 💻 on extraction of opinion tuples (opinion source, opinion object, tonality, linguistic expression) from news texts written in Russian

Language: Python - Size: 1.55 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

storytellingengineer/LLM_Classification_using_chatbot_conversation

This project implements an LLM-based classifier that analyzes chatbot conversations to determine sentiment and context.

Language: Python - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

AlexYangLi/ABSA_Keras

Keras Implementation of Aspect based Sentiment Analysis

Language: Python - Size: 859 KB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 151 - Forks: 45

delarosajav/HateSpeech-BETO-cased-v2

A fine-tuned model for detecting hate speech in Spanish, targeting racism, homophobia, sexism, and transphobia. Built on dccuchile/bert-base-spanish-wwm-cased, it’s trained on the manueltonneau/spanish-hate-speech-superset dataset with additional Paul dataset samples for improved accuracy and nuance. Ideal for content moderation.

Size: 370 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

sazardev/how-do-i-feel

"How Do I Feel?" is a client-side sentiment analysis application that provides real-time emotional tone detection in written text. The application leverages rule-based natural language processing techniques to analyze and categorize text into various sentiment dimensions.

Language: TypeScript - Size: 66.4 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Yeisson8A/TextClassificationSentimentsPython

Proyecto desarrollado en Python, utilizando un modelo para clasificar texto a nivel de emociones, y posteriormente una agrupación de estas clasificaciones en clústeres mediante K-Means, así como diferentes gráficos dinámicos tanto en 2D como 3D para el análisis de la información

Language: Python - Size: 3.91 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

jiyometrik/pw23

smtp (math) project 2023: 8-01 sorting sentiments of hotel reviews through machine learning

Language: Jupyter Notebook - Size: 98.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

delarosajav/tw-roberta-base-sentiment-FT-v2

This model is a second fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment, trained on the Sp1786/multiclass-sentiment-analysis-dataset. It builds on the first iteration by incorporating optimized techniques.

Language: Python - Size: 1.16 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: 2 days ago - Pushed at: 3 months ago - Stars: 42 - Forks: 12

pitmonticone/BertSentimentClassification

BERT Sentiment Classification on the Large Movie Review Dataset.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 0

FaithKamaraju/news-webservice 📦

A nifty little news webservice which provides scores for Political Bias using a fine-tuned modernBERT model. "GroundNews at home"

Language: Python - Size: 555 KB - Last synced at: 17 days ago - Pushed at: 3 months 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: about 2 months ago - Pushed at: over 5 years ago - Stars: 89 - Forks: 40

InPhyT/IMDb_Sentiment_Analysis_BERT

BERT Sentiment Classification on the IMDb Large Movie Review Dataset.

Language: Jupyter Notebook - Size: 972 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 0

shunk031/huggingface-datasets_JGLUE

JGLUE: Japanese General Language Understanding Evaluation for huggingface datasets

Language: Python - Size: 464 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 12 - Forks: 3

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: about 2 months ago - Pushed at: almost 3 years ago - Stars: 43 - Forks: 11

alpacamale/market-review-classification

Sentiment Classification on online marketplace reviews

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 2 months ago - Pushed at: 2 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: about 2 months ago - Pushed at: 9 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: 3 months ago - Pushed at: 3 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.

Language: Jupyter Notebook - Size: 7.25 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

StarlangSoftware/SentimentAnalysis

Sentiment Analysis Library for Turkish

Language: Java - Size: 53.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: 3 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 7 hours ago - Pushed at: over 3 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: about 2 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: 3 months ago - Pushed at: 3 months ago - Stars: 20 - Forks: 0

tlkh/text-emotion-classification

Archived - not answering issues

Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: about 2 months ago - Pushed at: about 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: 2 months ago - Pushed at: 3 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: 2 months ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 9

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: 10 days ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 24

AsadiAhmad/Sentiment-Analysis-N-Gram

Sentiment Analysis based on N-Gram probabilities.

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

andi611/Mockingjay-Speech-Representation

Official Implementation of Mockingjay in Pytorch

Language: Python - Size: 1.56 MB - Last synced at: about 2 months ago - Pushed at: almost 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: about 21 hours 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AsadiAhmad/Sentiment-Analysis

Sentiment Analysis with Verctoring and Clustering Methods

Language: Jupyter Notebook - Size: 30.3 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 0

umitkaanusta/TIA

Your Advanced Twitter stalking tool

Language: Jupyter Notebook - Size: 25.5 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 150 - Forks: 21

youssef25214/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

Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

carloocchiena/python_seo_automation_pack

Package of Python script useful to automate Search Engine Optimization

Language: Python - Size: 43 KB - Last synced at: 3 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: 3 months ago - Pushed at: 3 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: 4 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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: 5 days ago - Pushed at: about 2 years ago - Stars: 112 - Forks: 14

JackTheProgrammer/Working-with-Text-Classification

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

Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: 20 days ago - Pushed at: 4 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: 27 days ago - Pushed at: over 2 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

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: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

laugustyniak/awesome-sentiment-analysis

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

Size: 36.1 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 539 - Forks: 110

kevinschaich/billboard

🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.

Language: JavaScript - Size: 6.17 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 85 - Forks: 51