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.
It’s a true story that Germans love their long words. However, this fact may not be so loved for text processing procedures. The lack of NLP libraries in Python adapted to German makes it difficult to properly analyze this kind of words. Let us share with you our NLP tool to split word compounds. It will transform the AI market.
Some call it human-in-the-loop, we also call it Super Intelligence. The interaction and synergy between humans and machines are crucial when talking about Artificial Intelligence. Bringing these two elements together will sow the seeds of a new era where the speed and efficiency of the machines will complement human critical-thinking capabilities resulting in higher levels of accuracy and better outcomes.
As we have mentioned before in this blog, structured data is invaluable for businesses looking to extract relevant information from text. Whereas the problem used to be how to get enough useful data for the results to be meaningful, the challenge today is how to process the large amounts of it that are available. This task becomes almost impossible to achieve without the right tools because,on top of being vast, the data is most often unstructured. At Bitext, we offer a range of Text Analytics Tools that allow users to structure their raw data to extract the information most relevant to their goals.