Chris Ismael

Sentiment Analysis

 

 

 

 

 

Just a few days back we posted a List of 50+ 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!

API # Title Link
1 Text-Processing Sentiment analysis, stemming and lemmatization, partofspeech tagging and chunking, phrase extraction and named entity recognition.
Mashape
2 ML Analyzer Text Classification, Article Summarization, Sentiment Analysis, Stock symbol extraction, Person Names Extractor, Language Detection, Locations Extractor, Adult content Analyzer.
Mashape
3 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.
Mashape
4 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 partofspeech, extract dates, extract locations, or determine the sentiment of the text.
Mashape
5 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.
Mashape
6 Fluxifi NLP Cloud based Natural Language Processing API. Includes Sentiment and Language Detection.
Mashape
7 Sentiment Analysis Spanish Sentiment analysis for Spanish language of any given tweet.
Mashape
8 AlchemyAPI provides advanced cloudbased and onpremise text analysis infrastructure that eliminates the expense and difficulty of integrating natural language processing systems into your application, service, or data processing pipeline.
Mashape
9 nlpTools Text processing framework to analyse Natural Language. It is especially focused on text classification and sentiment analysis of online news media (generalpurpose, multiple topics).
Mashape
10 Speech2Topics Yactraq 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.
Mashape
11 Bitext Sentiment Analysis The purpose of this service is to extract opinions from text. An opinion represents the subject an author is writing about and a sentiment score that classifies how positively or negatively the author feels towards that subject. Deep Linguistic Analysis is used to identify the subject the author is discussing.
Mashape
12 Textalytics Sentiment Analysis Multilingual sentiment analysis of texts from different sources (blogs, social networks etc). Besides polarity at sentence and global level, 1.1 uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text. Sentiment Analysis also gives the user the possibility of detecting the polarity of userdefined entities and concepts, making the service a flexible tool applicable to any kind of scenario.
Mashape
13 Sentiment This tool works by examining individual words and short sequences of words (ngrams) and comparing them with a probability model. The probability model is built on a prelabeled test set of IMDb movie reviews. It can also detect negations in phrases, i.e, the phrase -not bad- will be classified as positive despite having two individual words with a negative sentiment.
Mashape
14 Starget sentiment analysis This is a short text (a twitt or a single sentence) sentiment classification API. It has two types of analysis: one for finding more (but less accurate) sentiment snippets and another one for finding more accurate sentiment (but missing some difficult cases).
Mashape
15 Textalytics Media Analysis API analyzes mentions, topics, opinions and facts in all types of media. This API provides services for: Sentiment analysis Extracts positive and negative opinions according to the context.
Mashape
16 Free Natural Language Processing Service 100% free service including sentiment analysis, content extraction, and language detection. Enjoy!
Mashape

Latest Update: 30th January 2015

 

You should also check out our other useful API lists for machine learning, natural language processing, summarizing text, SMS APIs, and face recognition APIs.

What are you waiting for?

category:
Share this: