Top 10 Best Text Analytics APIs: Watson, Google Natural Language, and more
Text analysis is the technique of extracting useful insights and meanings from written words. Using a text analysis software, you can parse large amounts of texts and derive machine-readable facts from them. Instead of creating an entire text processing system on your own from scratch, you can save yourself the hassle and use an Application Programming Interface (API) to access a third-party solution.
So, how do you choose the right API to go for?
To help you make the best decision, we reviewed several text analytics APIs based on the following three main criteria:
- API features: We looked at the outstanding features of each of the text analytics APIs.
- Pricing: We assessed the cost of using each of the APIs in applications.
- Ease of use: We analyzed the ease of integrating the APIs for adding text processing capabilities in applications.
Eventually, we created the following list of the top 10 best text analytics APIs:
1. Watson API
The IBM Watson natural language understanding API provides you with the capabilities to perform advanced text analysis and retrieve powerful insights from unstructured data.
API features: The Watson API comes with advanced features to allow you to take your understanding of texts to an entirely new level. With the API, you can extract relationships, concepts, entities, semantic roles, keywords, and many more. Furthermore, you can create a custom model that enables you to perform text analysis tailored to your specific domain or organization. The API supports 13 different languages.
Pricing: You can get started using the API for free, but you’ll be limited to 30,000 NLU items (number of data units and enrichment features) every month. To increase your limits, you can go for any of its pay-as-you-go plans. For example, processing 1–250,000 NLU items every month cost $0.003 per NLU item.
Ease of use: IBM provides exhaustive documentation that is full of helpful code samples on how to make the most of the API. There is also a vast community of IBM developers who can assist you with any integration challenges.
2. Google Cloud Natural Language API
The Google Cloud Natural Language API allows you to make use of Google’s machine learning technologies and extract useful insights from unstructured data.
API features: You can use the API to get beneficial details regarding people, events, or places as written in text documents, websites, or news articles. The REST API can assist you to carry out syntax analysis, entity recognition, sentiment analysis, and classification of documents in more than 700 predefined categories. It supports multiple languages, including Chinese, English, French, and Portuguese.
Pricing: You can try the API for free but you’ll be limited to 5,000 units per month (every document the API analysis is at least one unit). If you want to access higher limits, you’ll be charged depending on the feature you utilize. For example, carrying out syntax analysis for 5,000 to 1,000,000 units will cost you $0.50 per 1,000 units per month.
Ease of use: Google is known for offering easy to use documentation for its APIs, and the Cloud Natural Language API is no exception. Furthermore, Google has a vibrant developer community who can help you in solving any implementation issues.
3. NLP API
The Natural Language Processing (NLP) API provides an extensive range of methods for carrying out advanced text analysis. You can achieve most of the text analysis tasks using this API, saving you the trouble of using several APIs.
API features: The NLP API provides text analysis capabilities for personality analysis, text summarization, sentiment analysis, tone analysis, and others. Furthermore, you can use the API for performing entity recognition, assessing reading difficulty, spelling correction, keyword extraction, word sense disambiguation, string comparison and plagiarism detection, and many more.
Pricing: You can use the API for free, but you’ll be limited to 150 requests and 15 analyses per month. To access higher limits and better features, you can go for any of its paid plans, which starts from $500 to more than $2,000 per month.
Ease of use: The NLP API has been designed for ease of use. There is simple documentation to help you in getting started using the API as fast as possible. You can also get 24/7 email support and phone support.
4. Sentiment Analysis API
The Sentiment Analysis API uses natural language processing technologies to understand the opinions or emotions portrayed in a piece of text.
API features: The Sentiment Analysis API allows you to carry out sentiment analysis, text analysis, entities recognition, computational linguistics, keywords extraction, and more. With the API, you can effectively identify and examine the affective states and subjective details of texts.
Pricing: You can make 10 requests per month with the API for free. Thereafter, additional requests will be charged at $0.001 each.
Ease of use: There is simple documentation to help you get up and running with the API within a few minutes.
5. Text APIs by ParallelDots
The Text APIs by ParallelDots is a suite of APIs that allow you to use sophisticated machine learning technologies to process raw text.
API features: You can use the Text Analysis APIs to carry out sentiment analysis, semantic analysis, named entity recognition, text classification, keyword generation, intent analysis, and many other tasks. With the APIs, you can optimize your market research activities and interpret human-generated content at scale, ensuring maximized profitability. The APIs support several languages, including English, German, Japanese, Thai, and Dutch.
Pricing: You can use the free forever plan for testing the functionality of the APIs. To access better features, you can go for any of its paid plans, which starts from $79 per month to $499 per month.
Ease of use: ParallelDots offers exhaustive documentation and code samples that are provided in the major programming languages so that you can experience minimal hurdles integrating the Text APIs.
6. TextAnalysis API
The TextAnalysis API offers a wide range of text analysis, text processing, and text mining solutions to assist you in deriving useful insights from textual content. The API uses advanced natural language tools for performing text analysis tasks.
API features: With the API, you can carry out text summarization, sentiment analysis, part-of-speech (POS) tagging, key phrase extraction, grammar checking, lemmatization, text classification, word tokenization, sentence segmentation, language detection, and many others.
Pricing: As long as you make less than 500 requests per day, you can consume the TextAnalysis API for free, forever. To increase your quota, you can go for any of its paid plans, which starts from $25 per month to more than $100 per month.
Ease of use: There is detailed documentation, demo testing, usage examples, and email support to help you in incorporating the API into your application flawlessly.
7. Microsoft Text Analytics API
The Microsoft Text Analytics API leverages Microsoft’s top-class machine learning technologies to allow you to extract information from raw text.
API features: The API lets you carry out four main tasks: key phrase extraction, entity linking, sentiment analysis, and language detection. With the API, you’ll get best-in-class predictions and achieve your text analytics objectives.
Pricing: As long as you make less than 5,000 requests per month, you’ll not be charged for using the Microsoft Text Analytics API. Otherwise, you can go for any of its paid plans, starting from $50 per month to more than $300 per month.
Ease of use: Microsoft provides expansive documentation, tutorials in the major programming languages, SDKs, and other helpful resources to enable you to start using the API without many hassles.
8. Aylien API
The Aylien Text Analysis API is a powerful suite of machine learning technologies that will assist you in deriving various types of information from any textual content.
API features: The Aylien API comes with several endpoints for easily extracting meaning and insights from a wide range of documents. You can use the API to extract the main body of an article, summarize an article, classify a piece of text into more than 500 categories, extract named entities stated in a document, suggest hashtags for a document, detect the main language in a document, analyze the sentiment of a document, and many other tasks.
Pricing: The API is available for free, but you’ll be limited to 1,000 requests per day. To get higher limits, you can go for any of its paid plans, which starts from $199 per month to more than $1,399 per month.
Ease of use: Aylien offers comprehensive documentation, code samples in various programming languages, demo testing, SDKs, and other helpful resources to assist you in getting up and running with the API quickly.
9. Text Processing API
The Text Processing API by WebKnox allows developers to process the texts of natural languages and derive value from them.
API features: You can use the API to retrieve entity mentions, extract dates, identify the text’s main language, establish the text’s sentiment, gauge the quality of writing, tag part-of-speech, detect locations, summarize text, split sentences, and complete other text processing tasks.
Pricing: The Text Processing API is offered for free, but you’ll be restricted to 50 requests per day. For more intense usage, you can go for any of its paid plans, which starts from $19 per month to more than $139 per month.
Ease of use: WebKnox provides simple documentation and helpful code samples on how to integrate the API into your application with ease.
10. Twinword APIs
The Twinword APIs are a bundle of natural language processing tools that allow developers to analyze and derive meaning from human-generated sentences.
API features: With the APIs, you can complete all your text analysis needs. For example, you can use them to carry out sentiment analysis, topic tagging, category recommendation, text classification, word associations, lemmatization, text similarity analysis, language scoring, and many more tasks.
Pricing: As long as you make less than 100 requests per month, you can use the bundle of Twinword APIs for free. Otherwise, you can go for any of its paid plans, which starts from $25 per month to more than $115 per month.
Ease of use: Twinword offers exhaustive documentation, demo testing, and code samples to assist you in consuming the APIs with ease.
That’s Rakuten RapidAPI’s list of top 10 best text analytics APIs. You can click here to get other amazing APIs to integrate into your application and extract useful meaning and insights from textual content!
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