Sentiment analysis of text reviews using lexicon-enhanced bert embedding (LeBERT) model with convolutional neural network
Sentiment analysis has become an important area of research in natural language
processing. This technique has a wide range of applications, such as comprehending user …
processing. This technique has a wide range of applications, such as comprehending user …
Sentiment analysis of twitter data using machine learning approaches and semantic analysis
G Gautam, D Yadav - 2014 Seventh international conference …, 2014 - ieeexplore.ieee.org
The wide spread of World Wide Web has brought a new way of expressing the sentiments of
individuals. It is also a medium with a huge amount of information where users can view the …
individuals. It is also a medium with a huge amount of information where users can view the …
Customer sentiment analysis and prediction of halal restaurants using machine learning approaches
Purpose There is a strong prerequisite for organizations to analyze customer review
behavior to evaluate the competitive business environment. The purpose of this study is to …
behavior to evaluate the competitive business environment. The purpose of this study is to …
Big data analysis: recommendation system with Hadoop framework
Recommendation system provides the facility to understand a person's taste and find new,
desirable content for them automatically based on the pattern between their likes and rating …
desirable content for them automatically based on the pattern between their likes and rating …
Low resource language specific pre-processing and features for sentiment analysis task
Sentiment analysis is a classification task where polarity of textual data is identified, ie to
analyze whether a sentence or document expresses a negative, positive or neutral …
analyze whether a sentence or document expresses a negative, positive or neutral …
[PDF][PDF] Sentiment analysis of twitter posts related to the covid-19 vaccines
NN Alabid, ZD Katheeth - Indonesian Journal of Electrical …, 2021 - academia.edu
A real threat to the people of the world has appeared as a result of the spread of the
Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support …
Coronavirus disease of 2019 (COVID-19) disease. A lot of scientific and financial support …
Measuring design-level information quality in online reviews
IA Yagci, S Das - Electronic Commerce Research and Applications, 2018 - Elsevier
Online product reviews are an important type of user-generated content. For product
designers, they offer valuable information that identifies consumer likes, dislikes and …
designers, they offer valuable information that identifies consumer likes, dislikes and …
Understanding quality of products from customers' attitude using advanced machine learning methods
The trend of E-commerce and online shopping is increasing rapidly. However, it is difficult to
know about the quality of items from pictures and videos available on the online stores …
know about the quality of items from pictures and videos available on the online stores …
Emotion quantification using variational quantum state fidelity estimation
Sentiment analysis has been instrumental in developing artificial intelligence when applied
to various domains. However, most sentiments and emotions are temporal and often exist in …
to various domains. However, most sentiments and emotions are temporal and often exist in …
A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act
We focus on textual analysis of the US Securities and Exchange Commission's accounting
and auditing enforcement releases (AAERs). Our research question is: Did the Sarbanes …
and auditing enforcement releases (AAERs). Our research question is: Did the Sarbanes …