Auto Labeling to Increase Aspect-Based Sentiment Analysis Using K-Nearest Neighbors Method
Social media platforms generate many opinions, emotions, and views on all public services. Sentiment analysis is used in various institutions, such as universities, the business industry, and politicians. The evaluation process requires some data, both quantitative and qualitative. Researchers only...
Main Authors: | Jazuli Ahmad, Widowati, Kusumaningrum Retno |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2022-01-01
|
Series: | E3S Web of Conferences |
Subjects: | |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/26/e3sconf_icenis2022_05001.pdf |
Similar Items
-
K-Nearest Neighbors Analysis for Public Sentiment towards Implementation of Booster Vaccines in Indonesia
by: Ihwana As'ad, et al.
Published: (2023-08-01) -
SENTIMENT ANALYSIS OF THREE-PERIOD POLEMICS USING K-NEAREST NEIGHBOR WITH TF-IDF WEIGHTING
by: Siti Ernawati, et al.
Published: (2022-06-01) -
Nearest Neighbor Label Propagation for Density Peak Clustering
by: SONG Peng, GE Hongwei
Published: (2022-12-01) -
A new locally adaptive K-nearest centroid neighbor classification based on the average distance
by: Benqiang Wang, et al.
Published: (2022-12-01) -
Prediksi Kelompok UKT Mahasiswa Menggunakan Algoritma K-Nearest Neighbor
by: Sukamto Sukamto, et al.
Published: (2020-05-01)