Natural Language processing (NLP) uses deep learning algorithm to help applications interact with human language. It consumes the language as an input and provides an output which can include language translation, grammatical or sentimental analysis, automatic summarization, among others. Natural language processing tools can connect with language data pools to learn a specific function. It usually provides three types of analysis: sentence separation and tokenization, Part-of-speech tagging and Constituency parsing. Chatbots, social media monitoring tools and language translators are typical examples of natural language processing tools.
XEditpro is a publishing platform to manage all the publishing needs of users. It works as a cloud-based SaaS solution that has been pioneered to streamline the production needs of books, journals, and periodicals. The tool leverages an intelligent combination of AI, natural language processing... read more
SnatchBot is a chatbot creation platform that enables organizations to weave together messaging experiences across multiple channels. All the chatbots are powered by robust administrative infrastructure and enterprise-grade security. Chatbots are fueled via AI and Machine Learning and can then be... read more
Amazon Comprehend is a natural language processing software, which makes use of machine learning to look for insights and relationships within a text. The AutoML feature of the software allows users to build a custom set of entities and text models in accordance with their organisation’s needs.... read more
Unbabel is a customer service solution that provides its users with next level multilingual support. The inherent quality translation offered by the software makes the support teams of the users multilingual, reduces the cost and response time while also enhancing customer satisfaction. The... read more