Social media platforms such as Twitter and Facebook are becoming popular in multilingual societies. This trend induces portmanteau of South Asian languages with English. The blend multiple code-mixed data has recently become research communities for various NLP tasks. Code-mixed consist anomalies grammatical errors spelling variations. In this paper, we leverage the contextual property words wh...

Natural Language Processing (NLP) tools typically struggle to process code-switched data and so linguists are commonly forced annotate such manually. As this becomes more readily available, automatic increasingly needed help speed up the annotation improve consistency. Last year, a toolkit was developed semi-automatically transcribed bilingual Vietnamese-English speech with token-based language...

Social media has become almost ubiquitous in present times. Such proliferation leads to automatic information processing need and has various challenges. The nature of social media content is mostly informal. Additionally while talking about Indian social media, users often prefer to use Roman transliterations of their native languages and English embedding. Therefore Information retrieval (IR)...

Most agent-based simulation toolkits are based on the Java programming language. This makes their use difficult for social scientists, who are usually not skilled in computer programming. However, agent modelling concepts are not unlike those which could be used for the modelling of social systems. This assumption is considered in proposing the use of a graphical agent-oriented language for the...

Social technologies are transforming the Web to a place where users actively contribute to content production and opinion making. At B2E level, enterprises look at social networking tools as possible means for improving their operations thanks to the unstructured interaction they foster among employees. This paper tackles the problem of defining a quick and pragmatic approach for specifying the...

In social media code-mixing is getting very popular due to which there is enormous generation of noisy and sparse multilingual text which exhibits high dispersion of useful topics which people discuss. Also, the semantics is expressed across random occurrence of code-mixed words. In this paper, we propose code-mixed knowledge based LDA (cmkLDA), which infers latent topic based aspects from code...