Twitter Bot to follow financial trends in publicly traded companies
-
Updated
Dec 16, 2021 - JavaScript
Twitter Bot to follow financial trends in publicly traded companies
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
Accurate and fast sentiment scoring of phrases with #hashtags, emoticons :) & emojis 🎉
A speech sentiment text recorder for improve communication by Flask, GCP, Javascript
Sentiment Analysis of Twitter Data Using Logistic Regression
NK-VECTOR, a powerful Natural Language Processing (NLP) library.
This project uses Dialogflow Sentiment Analysis and makes the transition of conversation between the dialogflow agent to a human operator based on a negative sentiment score.
web app brand analysis and visualization. built with ReactJs and NodeJS
A simple sentiment detector open-source module for node.js
Stock Sentiment Tracker is an innovative platform for monitoring current market sentiments through real time sentiment analysis of textual information from social media sites like Twitter and Reddit.
fasttext 모델로 한국어 문장을 감성 분류하는 프로젝트 HART
Web application for sentiment analysis on e-commerce electronic product reviews from Amazon using supervised machine learning.
In this project, you will build a sentiment analysis system in Vietnamese (Happy, sad, angry, normal) in easiest way
A speech sentiment text recorder for improve communication by Flask, GCP, Javascript
Google Chrome extension analyzing the sentiment of twitter and facebook posts using the Rosette API.
Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.
Browser extension for page sentiment prediction as part of the CS410 - Text Information Systems course at UIUC.
Interpretation And Classification Of Emotions (Positive, Negative And Neutral) Within Text Data Using Text Analysis Techniques
JS package for predicting sentiment for English text using a pre-trained neural network.
Sentiment Analysis Using Twitter
Add a description, image, and links to the sentiment-classification topic page so that developers can more easily learn about it.
To associate your repository with the sentiment-classification topic, visit your repo's landing page and select "manage topics."