Microsoft text analytics APIs are set of web services built with Azure Machine Learning. If you think, you wanna go from scratch and do some enhancements, there’s the space for you too.

There are plenty of APIs and libraries that you can directly integrate with your system. In most of the cases, you don’t want to get the hassle of developing from the scratch. Let’s peep into some of the cool tools you can use in your developments. All mighty cloud the ultimate savior comes handy in this application too. Working with big corpus and chunking the textual data into n-grams need a big processing power. One of the major problems we have to face when processing natural language is the computation power. When it comes to natural language processing, text analysis plays a major role. Natural Language Processing, AKA Computational Linguistics enable computers to derive meaning from human or natural language input.

Comparing to artificial languages like programming languages and mathematical notations, natural languages are hard to notate with explicit rules. Human Language is one of the most complicated phenomena to interpret for machines.

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