AFINN-based sentiment analysis for Node.js.

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. NLTK requires Python version 3.7, 3.8, 3.9 or 3.10. For documentation, please visit nltk.org. 

An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)

This project demonstrates a possible deployment of the RedisEdge stack that provides real-time analytics of video streams. The following diagram depicts the flows between the system's parts. A video stream producer adds a captured frame to a Redis Stream. The new frame triggers the execution of a RedisGear that:  Downsamples the frame rate of the input stream, if needed. Prepares the input frame to the model's requirements. Calls RedisAI to execute an object recognition model on the frame. Stores the model's outputs (i.e. people counted and their whereabouts inside the frame) in Redis Stream and TimeSeries. A video web server renders the final image based on real-time data from Redis' Streams. Time series are exported from Redis to Prometheus, enabling visualization with Grafana's dashboards. 

React Native Components and APIs for the Web

Edu Serve

Natural Language Processing

sentimentby thisandagain

sentimentby thisandagain

TextBlobby sloria

TextBlobby sloria

nltkby nltk

nltkby nltk

Visual Analytics

EdgeRealtimeVideoAnalyticsby RedisGears

EdgeRealtimeVideoAnalyticsby RedisGears

webpack-dashboardby FormidableLabs

webpack-dashboardby FormidableLabs

react-native-webby necolas

react-native-webby necolas