BERTJoint modelJournal of Intelligent Information Systems - In the sentiment analysis tasks, the idea of introducing external information to improve the prediction performance is sprouting up. The Topic Sentimen
CrystalFeel is a system that was developed specifically for Sentiment Analysis combining many features. This way, it presents the best results. On the other hand, Sentence BERT was developed for other applications and was trained with data different from those used in this experiment. Even so, ...
First, it focuses solely on a single social media platform (Reddit) and could be enhanced by including discussions from other forums or platforms (e.g., Twitter, TikTok). Second, the analysis only considered submitted posts for topic modeling and did not include the accompanying comments. ...
pythonnlpdata-sciencedatamachine-learningsentiment-analysispandastopic-modelingdata-analysisbertpolaritynews-analysissubjectivity-analysisbertopic UpdatedJun 5, 2023 Python parthmaheshwari/emerging-sectors-forecast Star5 Forecasting Private Capital Market using published research and patents. Project developed at Mic...
Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling Getting Started git clone https://github.com/qas-lab/PopeREU CNN cnn2Resolution Code for Time-to-Resolution (Short vs Long) cnn2Fixed Code for Time-to-Fix (Short vs Long) cn...
With the rising volume of public and consumer engagement on social media platforms, the field of aspect-based sentiment analysis (ABSA) has garnered substantial attention. ABSA contains the systematic extraction of aspects, the analysis of associated sen
Sentiment analysis can mainly bring huge business value to enterprises, but the existing methods still have shortcomings in identifying complex emotion expression and context dependence in civil aviation reviews [10]. Although the work of Irsoy and Cardie [11] and Liu et al. [12–16] enhanced ...
trained Transformer 3.5 (GPT -3.5), Efficiently Learning an Encoder that Classifies Token Replacements Accurately (ELECTRA), and eXtreme Multi-head Attention Network (XLNet) to classify feedback based on urgency levels, assess topic similarity, and analyze sentiment to gauge overall classro...
Zulqarnain M et al (2022) An efficient two-state GRU based on feature attention mechanism for sentiment analysis. Multimedia Tools and Applications, p 26 Seok M et al (2016) Named entity recognition using word embedding as a feature. Int J Softw Eng Applic 10(2):93–104 Google Scholar ...
Lifelong Topic Modeling with Knowledge-enhanced Adversarial NetworkWWW 2022[pdf] Xuewen Zhang, Yanghui Rao, Qing Li Note that some studies cannot infer the topic distributions for documents as LDA. Topic Modeling with Contextualized Word Representation ClustersarXiv 2020[pdf] ...