Why have Natural Language processing in social media?

In the world today, we are having experiencing an upsurge in the number of social media that serve different purposes, for example, we have Instagram is used to share pictures, Eskimi and WhatsApp for sharing messages and other multipurpose media platforms like Facebook and twitter. Natural language processing social media techniques has been developed due to a number of reasons some of which are discussed below.

1. Informality of social media posts
   

Social sites are a place where different groups of people of different classes in terms of finances, age and religion meet to discuss their issues. Each group has its own way of expressing their messages due variation in their upbringing or socialization. Therefore, social media is normally informal in the text representation due the nature of the relationship between the communicating parties. This informality leads to the use of short forms like jargons, emoticons and abbreviations which do not follow the formal grammar of English. Natural language processing therefore comes in handy to try and apply machine learning techniques such as linear regression which best suits this scenario.

Given a number of messages from any social site, we call this training data which helps the social media platform to learn and gain experience which it then uses to make decisions in future. In the long run, our goal of processing the social media language shall have been achieved as the meanings of such informal writings shall be known to the site and in case text mining is performed, it goes through it without any significant difficulty.

1. Growth of more social sites.
   

Today, many social sites are coming up and they perform different purposes. Some people prefer to write languages that cannot be understood by the system, hence making it much more difficult to process the data. This has led to the need of new natural language processing technique due to the development of new social media platforms each of which has its own underlying architecture which might be incompatible with the existing processing methods that have already been put in place for some sites.

Often, social Natural language processing workshops are organized to help sensitize the interested people on how and why to process any language used in the any social site. Social media data is collected from the social media using the relevant web techniques in which one can take the advantage and try to observe the behavior of users by looking at the way they interact, the type of text messages they send and their feelings by using the emoticon. More so, user defined data is in form of text, hence theories and web techniques for analysis becomes possible. There are tools for analyzing data for different social sites. Twitter analysis tools have proved to be far much reliable since they are always giving good results after they are fed with data.