Do you want to discover the best natural language processing? Keep reading, we have the best tools for you.
Currently, many companies are implementing artificial intelligence (AI) in their business due to the fact that the world is changing, the traditional business is disappearing. Modern companies such as google, amazon have been leveraging this type of technology to lead the industry.
The most famous artificial intelligence is Natural language processing is a branch of linguistics, computer science, and artificial intelligence concerned with computer-human interaction, particularly how to design computers to process and evaluate huge volumes of natural language data.
This technology is able to read text, hear speech and interpret it. It can be used for analyzing data from customers, understanding their behavior, classifying data, recognizing fraudulent behavior or claims. Besides, it can understand many different languages.
If you want to use this kind of technology, you should try using these software
1- Klazify
Klazify is the most accurate content classification API. Get Website Logos, Company Data, Categorization, and much more from a URL or Email. With Klazify you will get data of any user about location, country, continent, code, apps, market category, logo, and other components in real-time. This data can be used for developing a customer profile as a consequence you can provide a better customer experience.
This software is known for using Natural Language Processing (NLP) and a Machine Learning Engine. Using the IAB V2 standard, it analyzes webpage text and divides it into 385+ potential topic groupings. For developers, the JSON, Python, and PHP Curl API response formats are straightforward to utilize.
2-MonkeyLearn
MonkeyLearn is a text analysis machine learning tool. It enables our users to extract actionable data from unstructured text. You can recognize topics or sentiments represented in texts such as tweets, chats, reviews, articles, and more, for example.
To automatically tag your text, use text analysis models. Choose from predefined models or use machine learning to create your own unique classifiers and extractors. Text is classified into categories using classifiers. Sentiment, Topic, Aspects, Intent, Priority, and so on are examples.
3-Google Cloud Natural Language API
The Google Cloud Natural Language API is a service that gives users access to a number of natural language processing (NLP) models that have been trained on large text corpora. The API allows for entity analysis, syntax analysis, text classification, and sentiment analysis. Chinese, English, French, and Portuguese are among the languages supported.
Also published on Medium.