Sentiment Analysis

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations.

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1beta2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations. Note that google-cloud-language-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.

A simple sentiment analysis gem

Sentiment analysis with ruby.

sad_panda is a gem featuring tools for sentiment analysis of natural language: positivity/negativity and emotion classification.

Semantria is a text analytics and sentiment analysis API. It allows you to gain valuable insights from your unstructured text content. It is based on Lexalytics’ Salience – a text analytics and sentiment analysis engine. It is the same engine as the one being used by Oracle, Cisco, Thomson Reuters, Saleforce.com - Radian6, Visible, Lithium, and 50+ other leaders in the space. Semantria offers Ruby SDK, that is the most convenient way to get started with the Semantria API on Ruby. SDK implements all the available Semantria features and demonstrate best practices of API usage.

Dump the Twitter streaming API to a CSV or JSON file and then filter, handle retweets, apply sentiment analysis, and more.

Offers sentiment analysis,keyword tracking, geographic competitor search and reviews from several review sites

A simple and extensible sentiment analysis gem.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com.

Sentiment analysis for the German language

Client for the SentimentAnalysis API

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.

Provides natural language understanding technologies, such as sentiment analysis, entity recognition, entity sentiment analysis, and other text annotations, to developers. Note that google-cloud-language-v2 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-language instead. See the readme for more details.

Sentiment Analysis with negation

Tweet gathering and sentiment analysis in the 2016 U.S. presidential election

A very simple to use sentiment analysis tool

Sentiment analysis in Ruby. Languages supported: English 🇬🇧, Danish 🇩🇰

Wrapper to consume sentiment analysis API.

A gem that does sentiment analysis and profane words filter on provided text. Cloud Application Development project 2020

Gem to access the twentybn.com deep learning api, which offers functions like image e.g. tagging, machine translation and sentiment analysis.

Carries out Tweets analysis using Alchemy Sentiment Analysis API

A gem that use Generative AI for data sentiment analysis