Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

The rise of social media has brought computational linguistics in ever-closer contact with
bad language: text that defies our expectations about vocabulary, spelling, and syntax. This …

Twitter is among the fastest‐growing microblogging and online social networking services.
Messages posted on Twitter (tweets) have been reporting everything from daily life stories to …

People tweet more than 100 Million times daily, yielding a noisy, informal, but sometimes
informative corpus of 140-character messages that mirrors the zeitgeist in an unprecedented …

Tweets are the most up-to-date and inclusive stream of in-formation and commentary on
current events, but they are also fragmented and noisy, motivating the need for systems that …

Facebook usage among university students is increasing day by day, a reflection of which is
evident through the amount of time these students spend on using social networking sites …

In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …

The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …

While various claims have been made about text in social media text being noisy, there has
never been a systematic study to investigate just how linguistically noisy or otherwise it is …

In this chapter we present a brief overview of Information Extraction, which is an area of
natural language processing that deals with finding factual information in free text. In formal …