• shareshare
  • link
  • cite
  • add
Other research product . 2021

Development for Performance of Porter Stemmer Algorithm

Polus, M. E. (Manhal); Abbas, T. (Thekra);
Open Access
Published: 01 Jan 2021
Country: Indonesia

The Porter stemmer algorithm is a broadly used, however, an essential tool for natural language processing in the area of information access. Stemming is used to remove words that add the final morphological and diacritical endings of words in English words to their root form to extract the word root, i.e. called stem/root in the primary text processing stage. In other words, it is a linguistic process that simply extracts the main part that may be close to the relative and related root. Text classification is a major task in extracting relevant information from a large volume of data. In this paper, we suggest ways to improve a version of the Porter algorithm with the aim of processing and overcome its limitations and to save time and memory by reducing the size of the words. The system uses the improved Porter derivation technique for word pruning. Whereas performs cognitive-inspired computing to discover morphologically related words from the corpus without any human intervention or language-specific knowledge. The improved Porter algorithm is compared to the original stemmer. The improved Porter algorithm has better performance and enables more accurate information retrieval (IR).


stemming algorithm, natural language processing, APSA, ВАСП, Indonesia, алгоритм стемминга, обработка естественного языка, поиск информации, УАСП, алгоритм Портера, information retrieval, Porter algorithm, алгоритм стеммінга, обробка природної мови, пошук інформації

Related Organizations
Related to Research communities
Digital Humanities and Cultural Heritage
Download from
Providers: Neliti