Top 8 Best Sentiment Analysis APIs

What is Sentiment Analysis?

According to Wikipedia:

Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

What is the best sentiment API?

After reviewing over 31 sentiment APIs, we found these 8 APIs to be the very best and worth mentioning:

• Aylien Text Analysis API
• Twinword Sentiment Analysis API
• Text-Processing API
• Microsoft Text Analytics API
• TextAnalysis API
• Text Sentiment Analysis Method API
• Bewgle API
• Google Text Analytics API

Our Top 8 Best Sentiment Analysis APIs for 2021

Our Top Picks for Best Sentiment Analysis APIs

The following is a list of the most popular sentiment analysis APIs that you can use on RapidAPI.

Explore these APIs to help you analyze positive or negative sentiment in news, social media, and text or use them to build sentiment analysis tools and apps.

1. Aylien Text Analysis API

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

Popularity Score: 9.6/10

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Best ForComplete Text Analysis

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2. Twinword Sentiment Analysis API

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.

Popularity Score: 9.4/10

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Best For Analyzing Sentiment

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3. Text-Processing API

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.

Popularity Score: 9.4/10

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Best For Sentiment Analysis & Processing Text

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4. Microsoft Text Analytics API

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.

Popularity Score: 8.8/10

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Best For Detect Language, Phrases, & Sentiment

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5. TextAnalysis API

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.

Popularity Score: 9.0/10

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Best For Comprehensive Text Analysis

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6. Text Sentiment Analysis Method API

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%"
}

 

Popularity Score: 8.9/10

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Best For Analyzing Text Sentiment on Multiple Lines

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7. Bewgle API

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

Popularity Score: 8.4/10

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Best For NLP & Sentiment Analysis

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8. Google Text Analytics API

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

Popularity Score: 6.7/10

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Best For Classifying Content

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Summary: Best Sentiment Analysis APIs for Developers

Complete List of the Best Sentiment Analysis & NLP APIs

• Sentiment Analysis 2.0 for Hotel Reviews - Sentiment Analysis 2.0 for Hotel Reviews - Cognitive API designed especially for Hotel Reviews.
• Sentiment Analysis API - Multilingual sentiment analysis of texts from different sources (blogs, social networks,…). Besides polarity at sentence and global level, Sentiment Analysis uses advanced natural language processing techniques to also detect the polarity associated to both entities and concepts in the text.
• TextAnalysis API - TextAnalysis API provides customized Text Analysis,Text Mining and Text Processing Services like 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 and other Text Analysis Tasks.
• Human Like Sentiment Analysis for Hotel Reviews API - The Next-generation of Sentiment Analysis, Keywords, Topics and Categories. 124 Semantic models designed especially for hotel reviews.
• Microsoft Text Analytics API - 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.
• Zirra API - Zirra makes non-traditional data usable for investors to reduce risk, increase return and boost overall educated decisions.
• Intellexer Natural Language Processing and Text Mining API - Intellexer API includes natural language processing solutions for sentiment analysis, named entity recognition, summarization, keywords extraction, document comparison, file conversion, natural language interface for search engines, language detection, spell-checking, article and concepts extraction, etc.
• StockFluence API - StockFluence.com provides financial sentiment analysis for investors to discover, react and respond to market opinions.
• Sentiment History Company API - Equity news sentiment for smarter investment decisions. News Sentiment is derived from millions of web sources. It helps tracking the volume of information published for a given company, and its degree of positiveness or negativeness. Can be used as input for predicting stock prices.
• Sentiment Analysis API - Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.
• RussianSentimentAnalyzer API - RussianSentimentAnalyzer (RSA) is a JSON API based on the technology stack of Insider Solutions company. It is capable of parsing the input text, reconstructing the meaning of messages with typos, like tweets and finding sentiment polarity oriented towards a particular object.
• Moodli API - Moodli provides Real-time sentiment analysis of tweets containing covid19-related keywords + geo-tagging each tweet. So far we only support English tweets. The geojson contains 2000 data points at once. The information is updated every 2 minutes.
• Text Sentiment Analysis Method API - Analysing text sentiment by passing text or paragraphs, in single line or multiple lines, and get back with the sentiment analysis report, to get how many of lines be analysed, how many positive, negative, middle sentiment for the lines of text.
• Twinword Text Analysis Bundle API - One API for all your text analysis needs. Sentiment Analysis, Topic Tagging, Lemmatizer, and much more. Various NLP tools all with one plan. Use natural language processing to analyze and understand human sentences.
• Meanings Preview API - Natural language processing. Language detection, accurate complex sentiment detection… BE AWARE: The first request may have a non negligible latency. After this first request, it will run like a charm.
• Diffbot API - Diffbot extracts data from web pages automatically and returns structured JSON. For example, our Article API returns an article's title, author, date and full-text. Use the web as your database!
• Italian text sentiment analysis API - This tool extract sentiment for text in Italian. You can determine if a text has a positive, negative or neutral opinion polarity. Result range from very negative (-2) to very positive (+2).
• Text Analysis API - AYLIEN Text API is a package of Natural Language Processing, Information Retrieval and Machine Learning tools that allow developers to extract meaning and insights from documents with ease.
• Text Mining and NLP API - Generate word & n-gram counts, compute text similarity, extract topics (keywords) from text , cluster sentences, extract text from HTML pages, summarize opinions.
• Text-Processing API - Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
• sentimentcheck API - An endpoint which check the sentiment of text and article by using advanced machine learning algorithms.
• Natural Language Processing - Understanding - Personality Analysis - Tone - Intent API - This API provides text analysis for Tone, Sentiment, Summarization, Personality Analysis, and more.
• Google Text Analysis API - Easy to use, InsightsML uses machine learning to categorize/classify your content
• Analyze NLP API - State-of-the-art Natural Language Processing for text, documents and web pages
• Emotion Analysis API - What emotions are in this text…? Detect the emotions of a paragraph of text.
• Sentiment Analysis API - Is this review/comment positive or negative? We can categorize it.
• Smalltalk NLU API - Intent/Entity extraction using AI for generic smalltalk queries
• FuxiAPI API - Simplified and Traditional Chinese sentiment analysis API.
• Sentiment Analysis API - Is this comment positive or negative? Find out the tone.
• Bewgle API - Bewgle NLP Sentiment Analysis API's
• emojify API - Emojification

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