[PDF][PDF] An evaluation of preprocessing techniques for text classification

AI Kadhim - International Journal of Computer Science and …, 2018 - researchgate.net
Text preprocessing is a vital stage in text classification (TC) particularly and text mining
generally. Text preprocessing tools is to reduce multiple forms of the word to one form. In …

Term weighting for feature extraction on Twitter: A comparison between BM25 and TF-IDF

AI Kadhim - … international conference on advanced science and …, 2019 - ieeexplore.ieee.org
Feature extraction is to transform a text document from any format into a list of features that
can be easily processed by text classification techniques. Feature extraction is one of …

Klasifikasi Teks Bahasa Indonesia Pada Dokumen Pengaduan Sambat Online Menggunakan Metode K-Nearest Neighbors (K-NN) dan Chi-Square

CF Suharno, MA Fauzi, RS Perdana - … Teknologi Informasi dan Ilmu …, 2017 - j-ptiik.ub.ac.id
Abstrak K-Nearest Neighbors (K-NN) merupakan metode klasifikasi yang mudah untuk
dipahami. Akan tetapi metode tersebut memiliki beberapa kekurangan, salah satunya …

Hate speech detection in twitter using natural language processing

B Pariyani, K Shah, M Shah, T Vyas… - … and Virtual Mobile …, 2021 - ieeexplore.ieee.org
Twitter's central goal is to enable everybody to make and share thoughts and data, and to
communicate their suppositions and convictions without boundaries. Twitter's job is to serve …

Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity

W Yulita, MC Untoro, M Praseptiawan… - Scientific Journal of …, 2023 - journal.unnes.ac.id
Purpose: In the learning process, most of the tests to assess learning achievement have
been carried out by providing questions in the form of short answers or essay questions. The …

[PDF][PDF] Survey paper on feature extraction methods in text categorization

D Saxena, SK Saritha, K Prasad - International Journal of …, 2017 - academia.edu
As the world is moving towards globalization, digitization of text has been escalating a lot
and the need to organize, categorize and classify text has become obligatory …

A modified multi objective heuristic for effective feature selection in text classification

D Thiyagarajan, N Shanthi - Cluster Computing, 2019 - Springer
Text categorization is the process of sorting text documents into one or more predefined
categories or classes of similar documents. Differences in the results of such categorization …

Reducing vector space dimensionality in automatic classification for authorship attribution

AR Sulayes - … , Automática y Comunicaciones ISSN: 1815-5928, 2017 - rielac.cujae.edu.cu
For automatic classification, the implications of having too many classificatory features are
twofold. On the one hand, features may not be helpful to discriminate classes and should be …

Utilizing Random Forest Algorithm for Sentiment Prediction Based on Twitter Data

I Setiawan, AM Widodo, M Rahaman… - … Multi-Conference on …, 2022 - atlantis-press.com
Abstract Information sharing throughout the globe or universe has become a characteristic of
social media. There has been a lot of research into the classification of sentiments. In this …

[PDF][PDF] Sentiment Analysis RKUHP Pada Twitter Menggunakan Metode Support Vector Machine

I Ihsan, D Nurjanah, H Nurrahmi - eProceedings …, 2021 - … .telkomuniversity.ac.id
Sentiment Analysis RKUHP Pada Twitter Menggunakan Metode Support Vector Machine
Program Studi Sarjana Informatika Fakultas Infor Page 1 Sentiment Analysis RKUHP Pada …