This project predicts stock market performance using sentiment analysis of news headline. The sentiment is visualized using Treemap

"Comprehensive Subtheme Sentiment Analysis of Customer Reviews Using Advanced NLP Techniques"

Natural Language Processing Python Project creating a Sentiment Analysis Classifier with NLTK's VADER and Huggingface's Roberta Transformers

Leveraging sentiment analysis and data augmentation to recreate recipe scoring algorithm with sparse data. Used MLPs and Gradient Boosting Regressors to compare regression metrics such as RMSE and MSE between raw data and raw data in conjunction with augmented data.

For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

Tarzan is an automated trading bot designed for swing trading penny stocks. It aggregates data from multiple sources, including social media, and financial news providers to place well-timed trades. The bot aims to maximize returns by holding positions for an average period of 1-14 days.

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

Implementing VADER, RoBERTa and TextCNN on a twitter dataset from Kaggle

Script loads news via APIs, analyzes sentiments using VADER, displays results on Streamlit.

Updated replacement for vader-sentiment (vaderSentiment-js) that runs original vaderSentiment natively, using CPython.

Get a better understanding on Amazon reviews overall sentiment for food goods group (April, 2024)

A CLI tool to perform simple sentiment analysis written in Rust, using a Rust port of VADER.

Finance News Crawler uses News API to fetch some latest articles and generates a sentiment report with the OpenAI API or VADER

The global supply chain is a crucial driver of the world economy, enabling the movement of goods and services worldwide and directly impacting economic growth. Analyzing sentiment surrounding the global supply chain in March 2024 reveals whether it's positive or negative, offering insights into improvements and disruptions.

Here you can find Sentiment Analysis, NamedEntity Recognition, Social Media Analysis and Topic Modeling. Some of which are completed using NLP.

Sentiment Analysis of Amazon Food Reviews to the customer ratings using VADER, TextBlob and Flair

This Repository contains Sentiment Analysis of Amazon Product Reviews using VADER and roBERTa on the following Dataset; https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews

A lightweight Natural Language Parsing API

Sentiment analysis for tweets written in Portuguese-Brazil

2022년 1학기 팀 프로젝트 : COVID-19 기간 트위터 텍스트 데이터 분석