List of 16 Sentiment Analysis APIs

Just a few days back we posted a List of 40+ Machine Learning APIs.

The APIs below are a Sentiment Analysis subset group from that Machine Learning API list.  Sentiment Analysis refers to “the application of natural language processing, computational linguistics, and text analytics to identify and extract subjective information in source materials.”

We hope you’ll it find useful!

1. TweetSentiments - Returns the sentiment of Tweets. Two online APIs call the Twitter API to analyze Tweets from a given Twitter user or Tweets returned by a Twitter search query. The offline API analyzes texts of Tweets you’ve already got, one Tweet at a time.
2. Sentiment Analysis for Social Media - The multilingual sentiment analysis API (with exceptional accuracy, 83.4% as opposed to industry standard of 65.4%, and available in Mandarin) from Chatterbox classifies social media texts as positive or negative, with a free daily allowance to get you started. The system uses advanced statistical models (machine learning & NLP) trained on social data, meaning the detection can handle slang, common misspellings, emoticons, hashtags, etc.
3. Repustate Sentiment and Social Media Analytics - Repustate’s sentiment analysis and social media analytics API allows you to extract key words and phrases and determine social media sentiment in one of many languages. These languages include English, Arabic, German, French and Spanish. Monitor social media as well using our API and retrieve your data all with simple API calls.
4. Chinese Sentiment Analysis for Social Media - 此API适用于中文社交媒体的情感分析（例如新浪微博），能针对每一条消息进行情感分类：正面或负面。该系统基于社交媒体，能够充分利用俚语，特殊词语等新新网络用语。请注意：该免费版本提供每天500条消息分类 - 超过此上限，将会被额外收费。
5. Sentiment Analysis Spanish - Sentiment analysis for Spanish language of any given tweet.
6. Viralheat Sentiment - Viralheat sentiment is free API and allows users to submit short chunks of text for sentiment scoring.
7. Text Processing - The WebKnox text processing API lets you process (natural) language texts. You can detect the text’s language, the quality of the writing, find entity mentions, tag part-of-speech, extract dates, extract locations, or determine the sentiment of the text.
8. ML Analyzer- Text Classification, Article Summarization, Sentiment Analysis, Stock symbol extraction, Person Names Extractor, Language Detection, Locations Extractor, Adult content Analyzer.
9. nlpTools - Text processing framework to analyse Natural Language. It is especially focused on text classification and sentiment analysis of online news media (general-purpose, multiple topics).
10. Chinese Analytics - Soshio allows companies to quickly expand their understanding of the Chinese market. Its Chinese Analytics API provides Chinese text analytics and sentiment analysis capabilities for businesses to create their own social monitoring dashboard.
11. Text-Processing - Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
12. Skyttle - Skyttle API is designed to turn any text into constituent terms (meaningful expressions), entities (names of people, place and things), and sentiment terms. Languages supported are English, Spanish, French, German, Chinese, Swedish, Greek, Czech, Italian and Russian.
13. Truthy - Write scripts to work with our data, statistics, and images using the API. Download tweet volume over time, network layout, and statistics about memes and users, such as predicted political partisanship, sentiment score, language, and activity.
14. Speech2Topics - Yactraq Speech2Topics is a cloud service that converts audiovisual content into topic metadata via speech recognition & natural language processing. Customers use Yactraq metadata to target ads, build UX features like content search/discovery and mine Youtube videos for brand sentiment. In the past such services have been expensive and only used by large video publishers. The unique thing about Yactraq is we deliver our service at a price any product developer can afford.
15. Excitement Gauge for Social Media- This API is essential for measuring online audiences. Using advanced machine learning it automatically measures the excitement levels within social statuses. You’ll have heard of buzz (number of messages) but buzz is basic - it doesn’t tell you anything about the messages being posted. The Excitement Gauge allows you to measure quality on top of quantity. Combined with Chatterbox Sentiment Analysis this API is designed to support advertising revenues, sales promotions, product launches and loyalty programs across timelines, geographies and languages . This API provides a far more accurate measure of how successful, engaging and receptive your audience is across the digital landscape (online, TV and advertising).
16. Anger Detection for Social Media - This unique API will revolutionise your service levels, protect your brand and monitor both sales and promotional campaigns. Designed specifically for social media this API automatically measures the anger levels within social messages so you can quickly highlight action points. Combined with Chatterbox Sentiment Analysis, Anger Detection is designed to protect your brand and service interaction with an online audience.

Do you know other Sentiment Analysis APIs?  Send chris@mashape.com a message :)