Text analysis and Natural Language Processing (NLP) are two related but different technologies in the field of artificial intelligence. They both use advanced algorithms to analyze human language and provide information beyond a basic dictionary definition. The difference between the two is that text analysis works on the surface level, such as word choice and how it affects tone, while NLP works below the surface to understand relationships between words and phrases for meaning.
Wondering how you can use an API for text analysis or NLP? Consider any situation where you need to understand a text—whether it’s a customer review, a research paper, or even a list of ingredients for your favorite snack food. You can use an API to:
- Leverage powerful analytics tools such as sentiment analysis to get better insight from your data
- Get more from your social media marketing efforts by identifying key influencers and topics
- Research trends and events in real-time using live streams of social media content
- Analyze large amounts of data to get deep insights into consumer behavior through intelligence gathering and predictive analytics
- Classify your customers’ websites by industry. This will assist you in determining how to best market to them.
Here are a few APIs that we recommend you try:
1. Klazify
Klazify is a website categorization and customer data API that uses Natural Language Processing (NLP) and a Machine Learning Engine to assess a website’s content and meta tags. This API connects to a certain website or URL to retrieve data. The IAB V2 Standard Classification taxonomy is then used to categorize information into over 385 categories for one-to-one customization.
Customers may provide services such as Internet filtering, subscriber statistics, advertising networks, and fraud protection thanks to Klazify’s domain categorization. When pasting URLs, keep in mind that Klazify accepts both base domain and complete path URLs. The first consists of the domain name and top-level domain (TLD), while the second is domain-specific and allows for more in-depth investigation.
2- Aylien
The Aylien Text Analysis API is a collection of solutions driven by Natural Language Processing and Machine Learning for analyzing and extracting various types of information from the textual content. It allows you to extract information such as Political Sentiment, Entities, Concepts, Entity Relations, Hashtags, Authorship, Citations, Emotions, and Categories.
They employ Natural Language Processing and machine learning technology to grasp the structure of the material at the document, article, and Web page levels, allowing them to evaluate millions of articles in real-time and give accurate, relevant information.
3. IBM Watson
To create audio, text, and speech analysis algorithms, you may use a comprehensive set of funding APIs, tools, and documentation. Watson’s Natural Language Understanding API provides additional tools and functionality for developers to construct text analysis models using deep learning methods.
The Natural Language Understanding API is based on machine learning technology and includes capabilities like sentiment analysis, entity analysis, keyword extraction, and more.
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Also published on Medium.