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Found 6 papers, 4 papers with code
On the Effectiveness of Pretrained Models for API Learning
We have also identified two different tokenization approaches that can contribute to a significant boost in PTMs' performance for the API sequence generation task.
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews
In addition, we investigate the performance of the PTMs trained on app reviews (i. e. domain-specific PTMs) .
AOBTM: Adaptive Online Biterm Topic Modeling Method for Version Sensitive Short-texts Analysis
Online topic modeling algorithms such as Online LDA (OLDA) and Online Biterm Topic Model (OBTM) speed up the inference of topic models for the texts collected in the latest time-slice by saving a fraction of data from the previous time-slice.
ReviewViz: Assisting Developers Perform Empirical Study on Energy Consumption Related Reviews for Mobile Applications
Furthermore, to help the developers extract the main topics that are discussed in the reviews, two states of the art topic modeling algorithms are applied.
Geo-Spatial Data Visualization and Critical Metrics Predictions for Canadian Elections
However, most of them do not offer a concise and insightful data interpretation or visualization tool, which can help users to process all of the information in a consistently comparable way.
Human-Computer Interaction
AOBTM: Adaptive Online Biterm Topic Modeling for Version Sensitive Short-texts Analysis
Online topic modeling algorithms speed up the inference of topic models for the texts collected in the latest time-slice by saving a fraction of data from the previous time-slice.
