Systematic reviews in sentiment analysis: a tertiary study
A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
on the web that provides opinions of people on different subjects. Sentiment analysis is the …
A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency
The development of machine learning-based ensemble models for the prediction of complex
processes with non-linear nature (such as adsorption) has been remarkably advanced over …
processes with non-linear nature (such as adsorption) has been remarkably advanced over …
Sentiment analysis meets explainable artificial intelligence: A survey on explainable sentiment analysis
A Diwali, K Saeedi, K Dashtipour… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Sentiment analysis can be used to derive knowledge that is connected to emotions and
opinions from textual data generated by people. As computer power has grown, and the …
opinions from textual data generated by people. As computer power has grown, and the …
An ensemble learning based hybrid model and framework for air pollution forecasting
As advance of economy and industry, the impact of air pollution has gradually gained
attention. In order to predict air quality, there were many studies that exploited various …
attention. In order to predict air quality, there were many studies that exploited various …
Bert fine-tuning for sentiment analysis on indonesian mobile apps reviews
KS Nugroho, AY Sukmadewa… - Proceedings of the 6th …, 2021 - dl.acm.org
User reviews have an essential role in the success of the developed mobile apps. User
reviews in the textual form are unstructured data, creating a very high complexity when …
reviews in the textual form are unstructured data, creating a very high complexity when …
Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy
This study investigates the impact of adding manganese (Mn) to ZA-27 alloy on
microstructure and tribological properties. The Mn content varied from 0.2% to 1 …
microstructure and tribological properties. The Mn content varied from 0.2% to 1 …
Classifying the unstructured IT service desk tickets using ensemble of classifiers
SP Paramesh, C Ramya… - 2018 3rd international …, 2018 - ieeexplore.ieee.org
Manual classification of IT service desk tickets may result in routing of the tickets to the
wrong resolution group. Incorrect assignment of IT service desk tickets leads to …
wrong resolution group. Incorrect assignment of IT service desk tickets leads to …
Machine learning approaches to sentiment analysis in online social networks
The online social network presents the quantitative measure of the psychological behaviour
of individuals and helps to analyse the generic standpoint of social or political issues. As the …
of individuals and helps to analyse the generic standpoint of social or political issues. As the …
[PDF][PDF] A survey on sentiment classification algorithms, challenges and applications
Sentiment classification is the process of exploring sentiments, emotions, ideas and
thoughts in the sentences which are expressed by the people. Sentiment classification …
thoughts in the sentences which are expressed by the people. Sentiment classification …
RETRACTED ARTICLE: Design of ensemble classifier using Statistical Gradient and Dynamic Weight LogitBoost for malicious tumor detection
S Subash Chandra Bose, N Sivanandam… - Journal of Ambient …, 2021 - Springer
In medical field, the detection of abnormalities in breast is essential to find earlier stage of
breast tumor. Conventional semi-supervised ensemble framework based on the normalized …
breast tumor. Conventional semi-supervised ensemble framework based on the normalized …