Word Sense disambiguation is one of the most important uses of speech tagging. It is the problem that determines which sense (meaning) of a word is activated by the use of that word in a particular context.
She saw a bear.
Bear with me a little longer.
The word bear has been used in different senses in the above two sentences. Speech tagging is used here to clearly understand the meaning of the same word in different sentences. The use of Speech tagging algorithms varies according to the different areas where they get applied.
The main benefits of speech tagging are:
On tagging the parts of a textual piece of content, its noun phrases, verbal phrases can be spotted very easily, and therefore it can help to deduct the main objects, subjects, as well as actions. You can clean up the stop words and then extract the essence of a piece of text — be it a tweet, a research paper, a video transcribed, or the entire Internet in Google’s case.
Speech tagging is only the first necessary step in understanding what a text is about. Tagging is not very useful as-is for business purposes, but it’s from a tagged text that you can work your way up or down a more actionable business purpose.