Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or entities within a phrase.
The Bitext API Platform is the most comprehensive NLP platform able to enhance your Artificial Intelligence and Machine Learning services. Recently, the Bitext team introduced a chatbot to make it even easier for you to benefit from this API.
If you want your chatbot to recognize a specific intent, you need to provide it with a large number of sentences that express that intent. That doesn’t seem that easy, right? Now you can do it in a matter of seconds. Keep reading!
Did you know that up to 80% of the data on the Internet is unstructured? All tweets, newspaper articles and any text-heavy information traveling on the network presents an unstructured form, not easily understandable for computers. A mere 20% of all web data is structured and, with only this, not much can be done for data analysis relying on machine learning.
Powered by a linguistic approach, the future of natural language processing will enable human-like understanding through a wide range of applications. Thanks to Bitext NLP technologies, that far future is closer than expected. Bitext solutions are fully oriented to the current needs of many forward-looking companies relying on cutting-edge techniques ranging from sentiment analysis tools to a generation of artificial training data. After years of hard work in the field of the automation of customer support, Bitext developed the most advanced API ever seen and several conversational agents for innovative enterprises as, for instance, TechCrunch.