The mix of native language with other languages (code-mixing) in social media has posed a
severe challenge for language identification (LID) systems. It has encouraged research on …

Twitter text messages are very noisy. Moreover, tweet data are unstructured and
complicated enough. The focus of this work is to investigate pre-processing technique for …

Background Stemming has long been used in data pre-processing to retrieve information by
tracking affixed words back into their root. In an Indonesian setting, existing stemming …

With the massive use of social media today, mixing between languages in social media text
is prevalent. In linguistics, the phenomenon of mixing languages is known as code-mixing …

Tropical disease grows fast and requires detection. One source of data for detections is
social media Twitter. However, social media data has data with diverse data structures …

Stemming has long been used in data pre-processing to retrieve information by tracking
affixed words back into their root. In an Indonesian setting, existing stemming methods have …

Hate Speech has become government and public's concern because of the high number of
hate speech cases on social media that occur in Indonesia, which are getting increased in …

Sentiment analysis on English tweets has its challenges. In addition to frequent use of the
informal language, the words used are usually less consistent, contain abbreviations, and …

The sentiment classification method is a research field that is proliferating in Indonesia since
it is fast in extracting public opinion and provides essential and valuable information for …

As social beings, humans always interact with one another using either verbal or non-verbal
language. Language is an arbitrary sound-symbol system, which is used by members of a …