World Wide Web

Linguistics

Philosophy

Construct (python library)

Computer science

Topic model

Natural language processing

Social media

Feature (linguistics)

Data science

Artificial intelligence

Information retrieval

Neologism

Programming language

Feature extraction

Slang

Latent Dirichlet allocation

CAAI Transactions on Intelligence Technology

Recently, the authors often see words such as youth slang, neologism and Internet slang on social networking sites (SNSs) that are not registered on dictionaries. Since the documents posted to SNSs include a lot of fresh information, they are thought to be useful for collecting information. It is important to analyse these words (hereinafter referred to as 'slang') and capture their features for the improvement of the accuracy of automatic information collection. This study aims to analyse what features can be observed in slang by focusing on the topic. They construct topic models from document groups including target slang on Twitter by latent Dirichlet allocation. With the models, they chronologically the analyse change of topics during a certain period of time to find out the difference in the features between slang and general words. Then, they propose a slang classification method based on the change of features.

Slang feature extraction by analysing topic change on social media