In-order to perform any NLP we need to deeply understand emotional and analytical aspect of how human being process language. Also various data sources of language like social media where human share the content which directly or indirectly is an extension what they are feeling has to be intelligently analysed by machines using NLP. NLP machines need to build a human reasoning system and with the help of ML techniques they can automate NLP process and scale it.
Madison Avenue advertising may be creative and it may sound glamorous, but it rarely shows tangible results in a short period of time. Smart founders know this and they simply forego promotion altogether in favor of hiring and product development. The cash constraint effect on a startup is what Samuel Johnson described when he said, “When a man knows he is to be hanged…it concentrates his mind wonderfully.”
Silver— the very personification of the power of big data over human interpretation in popular culture today— knew that this meant something. In that passage, you can practically hear the voice of Joe Morgan in Silver’s brain saying something to the effect of, “This kid’s a gamer.” It’s just the type of unmeasurable and unquantifiable observation that would make many sabermetricians shiver. But Silver recognized it as a form of data, and that it would be every bit as foolish to assess Pedroia as a player without considering it as it would be to assess him exclusively according to it. “The key to making a good forecast,” Silver writes later in the baseball chapter, “is not in limiting yourself to quantitative information. Rather, it’s having a good process for weighing the information appropriately.” Ditto for good product research.