Swahili Stopwords

Published: 3 June 2024| Version 2 | DOI: 10.17632/dzgt8z42fk.2
Alfred Malengo Kondoro


A common Swahili stop-words dataset consists of a list of words that do not add significant meaning to sentences. These words can be ignored during text processing tasks without sacrificing the overall meaning and context of the sentences. This dataset is essential for natural language processing (NLP) tasks such as text classification, sentiment analysis, and information retrieval, where removing stop-words can improve performance and efficiency. Characteristics of Stop-Words: - High Frequency: Stop-words appear frequently in texts but carry little lexical content. - Grammatical Role: These words often serve grammatical purposes rather than conveying specific content. - Non-Discriminative: Stop-words do not help in distinguishing between different classes or categories in text classification tasks.


Steps to reproduce

1. Data Collection from Official Sources. 2. Overview of the previous list of stopwords. 3. Preprocess and clean the collected text. 4. Merge the current list of stopwords with the previous list.


Hanyang University


Artificial Intelligence, Natural Language Processing, Swahili Language