GitHub - nlpcloud/nlpcloud-ruby: NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and ...
Thoughtful Machine Learning: Sentiment Analysis Using Support Vector Machines in Ruby – O'Reilly
How Businesses Can Leverage Sentiment Analysis Using NLP
Personalized Customer Communications using Sentiment Analysis
Andrew Kane on Twitter: "Introducing Informers: state-of-the-art natural language processing for Ruby 🎉 Supports sentiment analysis, question answering, and named-entity recognition https://t.co/C3OIQnZfry https://t.co/7qnFHLSoOy" / Twitter
Four Sentiment Analysis Accuracy Challenges in NLP | Toptal®
Sentiment analysis using python and NLTK - DEV Community
What Is Sentiment Analysis and Its Application on dbt Models from Python - BlueOrange
Quick Introduction to Sentiment Analysis | by Rachel Wolff | Towards Data Science
Sentiment analysis for mining texts and social networks data: Methods and tools - Zucco - 2020 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library
Four Sentiment Analysis Accuracy Challenges in NLP | Toptal®
Building an Email Sentiment Analysis Bot with Stanford NLP | Toptal®
Guide to Aspect-Based Sentiment Analysis
Sentiment Analysis and Emotion Recognition in Italian (using BERT) | by Federico Bianchi | Towards Data Science
Sentiment Analysis with the Sentimental Gem (Example) | GoRails
GitHub - stiang/textmood: Simple and powerful Ruby sentiment analyzer
How to Perform Sentiment Analysis with Amazon Comprehend | HackerNoon