Top 8 Best Sentiment Analysis APIs

Aylien’s Text Analysis API is the complete package with:

• Natural Language Processing
• Information Retrieval
• and Machine Learning Tools

that allow developers to extract meaning and insights from documents with ease.

Learn how to use the API with Python

The Twinword Sentiment Analysis API is a simple API that determines if pieces of text return a positive or negative tone. The API has a GET and POST endpoint to analyze sentiment.

Get started now for free by subscribing the the API’s freemium basic plans, which provides 500 free API requests/month.

Learn how to use the API to determine Sentiment Analysis on Twitter.

The Text-Processing API has multiple functions including:

• Sentiment Anaylsis
• Stemming & Lemmatization
• Part-of-speech tagging and chunking
• phrase extraction
• named entity recognition

Take a detailed look at the API’s sentiment analysis here to analyze sentiment of English text.

The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.

Microsoft’s official Text Analytics API has 3 endpoints:

1. Detect Language
2. Key Phrases
3. Sentiment

View all official Microsoft APIs here.

The TextAnalysis API is a super comphrensive API that performs multiple functions including:

• customized Text Analysis
• Text Mining
• Text Summarization
• Language Detection
• Text Classification
• Sentiment Analysis
• Word Tokenize
• Part-of-Speech (POS) Tagging
• Named Entity Recognition (NER)
• Stemmer
• Lemmatizer
• Chunker
• Parser
• Key Phrase Extraction (Noun Phrase Extraction)
• Sentence Segmentation (Sentence Boundary Detection)
• Grammar Checker

Regarding Sentiment Analysis, the API can perform Sentiment Analysis by Pattern and Sentiment Analysis by TextBlob.

With the Text Sentiment Analysis Method API, you can analyze sentiment in text by passing multiple lines or paragraphs of text.

Sample Application

Input: I am a happy boy

Output:

{8 items
"text":"I am a happy boy"
"totalLines":1
"pos":1
"neg":0
"mid":0
"pos_percent":"100%"
"neg_percent":"0%"
"mid_percent":"0%"
}

Bewgle’s API is another natural language processing API that has multiple functions including:

• Cleaning Text Sentences – Cleans text, handles repeated characters, contractions, etc
• Get Actionable Sentences – Check whether the sentence present in review text is something that can be acted upon
• Extract Topics from Text – For a given sentence, get aspects generated by bewgle and Google Cloud Natural Language (NLP).
• Catchy Phrases from text – Extract interesting phrases from text
• Get score of topics in text – For a given list of topics in a sentence, get bewgle generated score. Compare it with Google’s score

The Google Text Analysis API is an easy-to-use API that uses Machine Learning to categorize and classify content.

The API has 5 endpoints:

1. For Analyzing Sentiment – Sentiment Analysis inspects the given text and identifies the prevailing emotional opinion within the text, especially to determine a writer’s attitude as positive, negative, or neutral. Sentiment analysis is performed through the analyzeSentiment method.
2. For Classifying Content – Content Classification analyzes a text/content and returns a list of content categories that apply to the text found in it.
3. Analyzing Entities – Identify entities within documents — including receipts, invoices, and contracts — and label them by types such as date, person, contact information, organization, location, events, products, and media.
4. Analyzing Entity Sentiment – Entity Sentiment Analysis combines both entity analysis and sentiment analysis and attempts to determine the sentiment (positive or negative) expressed about entities within the text.
5. Analyzing Syntax – Syntactic Analysis breaks up the given text into a series of sentences and tokens (generally, words) and provides linguistic information about those tokens.

Demo the Cloud Natural Language API here