Sentiment analysis for hotel reviews: a systematic literature review
Sentiment Analysis (SA) helps to automatically and meaningfully discover hotel customers'
satisfaction from their shared experiences and feelings on social media. Several studies …
satisfaction from their shared experiences and feelings on social media. Several studies …
Emotion classification of Indonesian tweets using bidirectional LSTM
Emotion classification can be a powerful tool to derive narratives from social media data.
Traditional machine learning models that perform emotion classification on Indonesian …
Traditional machine learning models that perform emotion classification on Indonesian …
Deep learning-based application for multilevel sentiment analysis of Indonesian hotel reviews
Purpose In this study, we present a web-based application that retrieves hotel review
documents in Indonesian languages from an online travel agent (OTA) and analyses their …
documents in Indonesian languages from an online travel agent (OTA) and analyses their …
Comparison and evaluation of different methods for the feature extraction from educational contents
This paper analyses the capabilities of different techniques to build a semantic
representation of educational digital resources. Educational digital resources are modeled …
representation of educational digital resources. Educational digital resources are modeled …
Feature Expansion Word2Vec for Sentiment Analysis of Public Policy in Twitter
AR Royyan, EB Setiawan - Jurnal RESTI (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
Social media users, especially on Twitter, can freely express opinions or other information in
the form of tweets about anything, including responding to a public policy. In a written tweet …
the form of tweets about anything, including responding to a public policy. In a written tweet …
BTM and GloVe similarity linear fusion-based short text clustering algorithm for microblog hot topic discovery
D Wu, M Zhang, C Shen, Z Huang, M Gu - IEEE Access, 2020 - ieeexplore.ieee.org
Microblog hot topic discovery is one of the research hotspots in the field of text mining. The
distance function of traditional K-means leads to low clustering accuracy, which leads to …
distance function of traditional K-means leads to low clustering accuracy, which leads to …
The Implementation of TF-IDF and Word2Vec on Booster Vaccine Sentiment Analysis Using Support Vector Machine Algorithm
As a sort of technological advancement, social media is a medium used to transmit ideas on
certain subjects. Sentiment analysis can be used to analyze public opinion. Feature …
certain subjects. Sentiment analysis can be used to analyze public opinion. Feature …
[PDF][PDF] Sentiment analysis using global vector and long short-term memory
K Kusum, SP Panda - Indonesian Journal of Electrical Engineering …, 2022 - academia.edu
Tweet sentiment analysis is a deep learning study that is beneficial for automatically
determining public opinion on a certain topic. Using the long short-term memory (LSTM) …
determining public opinion on a certain topic. Using the long short-term memory (LSTM) …
Support Vector Machine Method with Word2vec for Covid-19 Vaccine Sentiment Classification on Twitter
M Sahbuddin, S Agustian - Journal Of Informatics And …, 2022 - ojs.uma.ac.id
Covid-19 has been a dangerous outbreak for the world that has lasted more than 2 years.
Covid-19 has evolved or developed into several new variations, such as delta which is more …
Covid-19 has evolved or developed into several new variations, such as delta which is more …
Semi-supervised Learning Models for Sentiment Analysis on Marketplace Dataset
Sentiment analysis aims to categorize opinions using an annotated corpus to train the
model. However, building a high-quality, fully annotated corpus takes a lot of effort, time, and …
model. However, building a high-quality, fully annotated corpus takes a lot of effort, time, and …