Comparative study of deep learning-based sentiment classification
The purpose of sentiment classification is to determine whether a particular document has a
positive or negative nuance. Sentiment classification is extensively used in many business …
positive or negative nuance. Sentiment classification is extensively used in many business …
Multimodal sentiment analysis via RNN variants
Multimodal sentiment analysis involves the classification of sentiment by using different
forms of data together, namely, text, audio, and video. Previously sentiment analysis was …
forms of data together, namely, text, audio, and video. Previously sentiment analysis was …
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 …
Sentiment and emotion-aware multi-modal complaint identification
The expression of displeasure on a consumer's behalf towards an organization, product, or
event is denoted via the speech act known as complaint. Customers typically post reviews …
event is denoted via the speech act known as complaint. Customers typically post reviews …
Implementation of text mining for emotion detection using the lexicon method (Case Study: tweets about Covid-19)
AS Aribowo, S Khomsah - Telematika: Jurnal Informatika dan …, 2021 - jurnal.upnyk.ac.id
Abstract Information and news about Covid-19 received various responses from social
media users, including Twitter users. Changes in netizen opinion from time to time are …
media users, including Twitter users. Changes in netizen opinion from time to time are …
Adversarial multi-task model for emotion, sentiment, and sarcasm aided complaint detection
Automatic identification of consumer complaints about products or services purchased can
be crucial for businesses and online merchants since they can utilize this knowledge to …
be crucial for businesses and online merchants since they can utilize this knowledge to …
Complaint identification in social media with transformer networks
Complaining is a speech act extensively used by humans to communicate a negative
inconsistency between reality and expectations. Previous work on automatically identifying …
inconsistency between reality and expectations. Previous work on automatically identifying …
Evaluating the quality of public services through social media
N Wilantika, SB Wibisono - Asian Journal for Public Opinion Research, 2021 - ajpor.org
Public services need to be evaluated regularly to identify areas that need further
improvement. Data collection via Twitter is affordable and timely, so it has the potential to be …
improvement. Data collection via Twitter is affordable and timely, so it has the potential to be …
Knowing what and how: a multi-modal aspect-based framework for complaint detection
With technological advancements, the proliferation of e-commerce websites and social
media platforms has created an avenue for customers to provide feedback to enterprises …
media platforms has created an avenue for customers to provide feedback to enterprises …
Text annotation automation for hate speech detection using SVM-classifier based on feature extraction
This article aims to develop a semi-supervised method for automatically annotating hate
speech in social media using natural language processing (NLP) techniques. The approach …
speech in social media using natural language processing (NLP) techniques. The approach …