Exploiting Social Media for Natural Language Processing: Bridging the Gap between Language-centric and Real-world Applications

Introduction to the Special Issue on Language in Social Media: Exploiting Discourse and Other Contextual Information

Social media content is changing the way people interact with each other and share information, personal messages, and opinions about situations, objects, and past experiences. Most social media texts are short online co…

An In-depth Analysis of the Effect of Lexical Normalization on the Dependency Parsing of Social Media

Existing natural language processing systems have often been designed with standard texts in mind. However, when these tools are used on the substantially different texts from social media, their performance drops dramat…

Processing Dialectal Arabic: Exploiting Variability and Similarity to Overcome Challenges and Discover Opportunities

We recently witnessed an exponential growth in dialectal Arabic usage in both textual data and speech recordings especially in social media. Processing such media is of great utility for all kinds of applications ranging…

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

In this paper we present TweetNLP, an integrated platform for Natural Language Processing (NLP) in social media. TweetNLP supports a diverse set of NLP tasks, including generic focus areas such as sentiment analysis and …

Proceedings of the Second Workshop on Natural Language Processing for Social Media (SocialNLP)