#Sentiment-analysis
Showing 60 of 143 repositories tagged #sentiment-analysis, ranked by stars
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
State of the Art Natural Language Processing
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
Developer friendly Natural Language Processing ✨
A list of Twitter datasets and related resources.
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
:book: 收集NLP领域相关的数据集、论文、开源实现，尤其是情感分析、情绪原因识别、评价对象和评价词抽取方面。
BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user
Resources for learning about Text Mining and Natural Language Processing
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Regression, Scrapers, and Visualization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
Language sentiment analysis and neural networks... for trolls.
🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
AI-powered Vibe Investing for NASDAQ, S&P500 & crypto: LLM quant trading tools, multi-agent backtesting, and data-driven market columns (mNAV arbitrage, BTC-Nasdaq coupling, Alpha Arena). 미국 주식·가상화폐 AI 투자 큐레이션·칼럼·트레이딩 봇.
It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text analysis, data analysis and data visualization
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
Mini Projects on Data Analytics including Exploratory Data Analysis, Recommendation Systems, Association Rule Mining, Sentiment Analysis, Time Series Analysis
Real-time sentiment analysis in Python using twitter's streaming api
16 Text Preprocessing Techniques in Python for Twitter Sentiment Analysis.
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Sentiment analysis and visualization of real-time tweets using R
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
A tutorial series by Preferred.AI
An overview of the AI-as-a-service landscape
Financial Web Scraper & Sentiment Classifier
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Crypto liquidity detection & algorithmic trading bot. Order book analysis, stop-loss clusters, liquidity sweeps. Multi-exchange (Binance, Bybit, Kraken, OKX). Trading signals, quant research, market microstructure.
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
ConText v4: Neural networks for text categorization
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
LLM-powered Crypto Trading Framework with Vision AI chart analysis, real-time Neural Engine, and a live monitoring dashboard at semanticsignal.qrak.org. Features memory-augmented reasoning and professional risk metrics.
Hierarchical Models for Sentiment Analysis in Pytorch
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Content based movie recommendation system with sentiment analysis