There are 2 repositories under sentimentanalysis topic.
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
A Laravel wrapper to perform sentiment analysis over an English sentence
Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.
NLP basic and advance text preprocessing concepts and techniques
Todo lo accesorio y entorno al proyecto sobre Análisis de textos con R
Funções e dicionários em forma de pacote para o R, criados a partir da necessidade de realização de de uma Análise de Sentimento em português.
The goal of sentiment analysis is to classify the text based on the mood or mentality expressed in the text, which can be positive negative, or neutral.
This project was done as a part of my internship at Bennet University for in May-June 2020.
Sentiment Analysis with jupyter notebook python by Pycharm Edu
A project that harnesses the Stanford NLP library to gauge sentiment from provided text via an intuitive graphical interface.
📚🧠🌐 Welcome to TextAIHub repository! Explore the fascinating realm of NLP, text generation, sentiment analysis, and beyond. Join us in propelling language understanding to new frontiers through state-of-the-art AI models and advanced techniques. Together, let's ignite a revolution in text processing! 🚀💬🌍
Bitcoin Price Prediction with 16 Machine Learning Algorithms. The datasets are given. To pull tweets use 'TweetsPull' class. In that case you have to authenticate with your twitter account. The workflow is 1.Pull tweets 2.calculate sentiment score 3.use machine learning algorithms to predict bitcoin price change according to sentiment. This project predicts weather the price of bitcoin is increasing or decreasing with respect to sentiment. This has been done for March 2018 and can be improved with more datasets.
Sentiment-Analysis-Django-App
German Sentiment Analysis
An end-to-end NLP project of mine.
This project provides a comprehensive analysis of tweet sentiment during the COVID-19 pandemic using Natural Language Processing (NLP) techniques. The dataset is classified into five sentiment classes, and thorough data exploration and preprocessing techniques are applied to handle imbalances. ML & DL models utilised.
Sentiment Analysis of 1.72 million tweets regarding Joe Biden and Donald Trump from 2020 US election to find political trends and predict election outcome.
Free to use Twitter Sentiment Analysis and Visualization Application.
This project provides a simple script for determining the sentiment of a text input using TextBlob library in Python. It also returns the most positive and most negative sentence in the input text. The script can be used as a standalone tool or integrated into other projects.
An implementation of ABSA
A short Sentiment Analysis performed on The Last of Us (2013) reviews dataset in Python.
This is a simple sentiment analysis project using Java. With explanation of methods and objects.
Explore Dutch Social Media trends with analyses on influencer behavior, geographical insights, daily activity patterns, sentiment trends, and prevalent topics using Python.
Twitter Sentiment Analysis - work completed during the semester at The University of Melbourne in Machine Learning (COMP30027)
Zenify: Unveil the Mood of Words with Sentiment Analysis
Consumer Sentiment Analysis
"Detect sarcasm effortlessly! This Python app uses NLP and ML to analyze text sentiment, distinguishing sarcastic tones. With a user-friendly interface, input any text for real-time sarcasm identification. Achieve accurate results through advanced sentiment analysis techniques and trained models."
Text Mining, Sentiment Analysis, Statistical Analysis
Exploring topic modeling techniques, sentiment analysis, and classification algorithms using the Kaggle dataset "Tripadvisor Reviews 2023"
Come take a look at my excessive and redundant script analysis on the first season of Demon Slayer Kimetsu no Yaiba
Sentiment Analysis
NLP Techniques on comedy corpora