Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Italian National Conference on Sensors, 2022 The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals’ emotions empowers sentiment analysis.
Nusrat Jahan Prottasha +6 more
semanticscholar +1 more source
The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Haddi, E, Liu, X, Shi, Y
core +1 more source
Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction [PDF]
, 2015 Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural Networks (CNNs) have established
Jiang Y.-G. +6 more
core +2 more sources
RoBERTa-LSTM: A Hybrid Model for Sentiment Analysis With Transformer and Recurrent Neural Network
IEEE Access, 2022 Due to the rapid development of technology, social media has become more and more common in human daily life. Social media is a platform for people to express their feelings, feedback, and opinions.
Kian Long Tan +3 more
semanticscholar +1 more source
A Multimodal Sentiment Dataset for Video Recommendation [PDF]
arXiv, 2021 Recently, multimodal sentiment analysis has seen remarkable advance and a lot of datasets are proposed for its development. In general, current multimodal sentiment analysis datasets usually follow the traditional system of sentiment/emotion, such as positive, negative and so on.
arxiv
Simple Text Mining for Sentiment Analysis of Political Figure Using Naive Bayes Classifier Method
, 2015 Text mining can be applied to many fields. One of the application is using text mining in digital newspaper to do politic sentiment analysis. In this paper sentiment analysis is applied to get information from digital news articles about its positive or ...
Soelistio, Yustinus Eko +1 more
core +1 more source
Sentiment analysis and opinion mining on E-commerce site [PDF]
arXiv, 2022 Sentiment analysis or opinion mining help to illustrate the phrase NLP (Natural Language Processing). Sentiment analysis has been the most significant topic in recent years. The goal of this study is to solve the sentiment polarity classification challenges in sentiment analysis.
arxiv
Implementasi Twitter Sentiment Analysis Untuk Review Film Menggunakan Algoritma Support Vector Machine [PDF]
, 2018 Sentiment analysis digunakan untuk melihat opini terhadap sebuah masalah menuju ke opini positif atau negatif. Media sosial Twitter merupakan salah satu media yang digunakan untuk memberikan opini melalui tweet.
Fidyawan, M. A. (Miftahul) +2 more
core +1 more source
Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysis
Informatics, 2021 Machine learning models are used today to solve problems within a broad span of disciplines. If the proper hyperparameter tuning of a machine learning classifier is performed, significantly higher accuracy can be obtained.
Enas Elgeldawi +3 more
semanticscholar +1 more source
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis [PDF]
arXiv, 2020 Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches. However, sentiment knowledge, such as sentiment words and aspect-sentiment pairs, is ignored in the process of pre-training, despite the fact that they are widely used in traditional sentiment analysis approaches.
arxiv