Social Media Slang Word Dataset KBBI

Description

This dataset contains Indonesian slang vocabulary (bahasa gaul) collected from social media and compiled with supporting linguistic references, including the Kamus Besar Bahasa Indonesia (KBBI). The dataset provides information about slang words, their standardized meanings, word formation categories, explanations of word formation processes, and example sentences illustrating their usage in everyday communication. The dataset is organized into two main components: 1. Slang Vocabulary Reference Dataset: Contains slang words, their corresponding meanings based on KBBI references, word formation labels, explanations, and example sentences. 2. Preprocessed Dataset: Contains the results of text preprocessing, including text normalization, tokenization, stopword removal, stemming, word formation classification, and numerical label encoding. The word formation categories include acronyms, absorption, abbreviations, reversals, and affixation. This dataset is intended to support research and development in Natural Language Processing (NLP), particularly Indonesian slang normalization, text preprocessing, linguistic analysis, and word formation classification. The dataset can be used as a reference for further research involving Indonesian informal language processing and computational linguistics.

Steps to reproduce

Steps to Reproduce: 1. Prepare the collected slang word dataset obtained from social media sources. 2. Identify and compile slang words along with their meanings, word formation labels, explanations, and example sentences using the KBBI reference as supporting material. 3. Perform text normalization to convert slang words into their standardized meanings. 4. Apply tokenization and stopword removal to process the normalized text. 5. Perform stemming to obtain the root forms of the words. 6. Assign word formation labels, including acronym, absorption, abbreviation, reversal, and affixation. 7. Encode the word formation labels into numerical values. 8. Save the resulting preprocessed dataset in CSV format for further Natural Language Processing (NLP) analysis. The dataset contains the original slang words, normalized text, tokens after stopword removal, stemmed words, word formation labels, and encoded labels.

Institutions

• Universitas Islam Negeri Maulana Malik Ibrahim

  East Java, Malang

Categories

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