Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

A text analyzer which is based on machine learning,statistics and dictionaries that can analyze text. So far, it supports hot word extracting, text classification, part of speech tagging, named entity recognition, chinese word segment, extracting address, synonym, text clustering, word2vec model, edit distance, chinese word segment, sentence similarity,word sentiment tendency, name recognition, idiom recognition, placename recognition, organization recognition, traditional chinese recognition, pinyin transform.

A sentiment analyzer package for financial assets and securities utilizing GPT models.

Twitter Sentiment Analyzer

Japanese sentiment analyzer implemented in Python.

Web interface to sentiment analyzer.

Real-Time, Twitter sentiment analyzer engine

PHP Sentiment Analyzer is a lexicon and rule-based sentiment analysis tool that is used to understand sentiments in a sentence using VADER (Valence Aware Dictionary and sentiment Reasoner).

한국어 감성 분석기

An application that monitors a Twitter feed and determines customer sentiment using IBM Watson Assistant, Tone Analyzer, Natural Language Understanding, as well as CloudantDB

AI-powered sentiment analysis app with multilingual support, interactive dashboard, and CSV export. Built with Flask, React, and RoBERTa.

Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

Sentiment analyzer for your tweets.

A sentiment analyzer using deep rnns, built with TensorFlow

Downloads news articles from Google news and uses pre-trained NLP models to perform sentiment analysis

No description available

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

Tweets Sentiment Analyzer

AI-powered real-time sentiment analyzer

A natural language processing project that classifies weather report text sentiment as positive, neutral, or negative, helping analyze emotional tone in forecasts for media, research, and communication improvement.

A tool that analyzes Twitter trends and sentiment using AI.

Neural Sentiment Analyzer for Modern Hebrew

No description available

Sentiment analysis on tweets and facebook comments

A minimal sentiment analyzer based on @thinkroth's "Sentimental" and written in CoffeeScript

Simple and powerful Ruby sentiment analyzer

Download reddit posts based on keywords and perform sentiment analysis on the posts.

It analyze the sentiment of the user, whether it is postive or negative.

Real-time dashboard for Twitter Sentiment analysis using Spark Streaming and Watson Tone Analyzer

This package is an implementation of the Naive Bayes Algorithm To Determine the sentiment of a particular statement, a book review, chat, speech and so on. It marks a sentence as positive, negative or neutral depending on the kind of words that are used, this can help in automatically selecting a review, comment or chat that has the best intentions in any situation.