Customer complaints-based water quality analysis
S Balta Kaç, S Eken - Water, 2023 - mdpi.com
Social media has become a useful instrument and forum for expressing worries about
various difficulties and day-to-day concerns. The pertinent postings containing people's …
various difficulties and day-to-day concerns. The pertinent postings containing people's …
An Improved Deep Text Clustering via Local Manifold of an Autoencoder Embedding
Text clustering is a method for separating specific information from textual data and can
even classify text according to topic and sentiment, which has drawn much interest in recent …
even classify text according to topic and sentiment, which has drawn much interest in recent …
An Adaptive Deep Clustering Pipeline to Inform Text Labeling at Scale
X Chen, I Beaver - arXiv preprint arXiv:2202.01211, 2022 - arxiv.org
Mining the latent intentions from large volumes of natural language inputs is a key step to
help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer service …
help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer service …
SAKP: A Korean Sentiment Analysis Model via Knowledge Base and Prompt Tuning
H Wen, Z Zhang - 2023 IEEE 3rd International Conference on …, 2023 - ieeexplore.ieee.org
With the help of pre-trained language models, tasks such as sentiment analysis and text
classification have achieved good results. With the advent of prompt tuning, especially …
classification have achieved good results. With the advent of prompt tuning, especially …
The Foundational Capabilities of Large LanguageModels in Predicting Postoperative Risks UsingClinical Notes
Clinical notes recorded during a patient's perioperative journey holds immense
informational value. Advances in large language models (LLMs) offer opportunities for …
informational value. Advances in large language models (LLMs) offer opportunities for …
Using Generative Artificial Intelligence for Suggesting Software Architecture
B Gustrowsky, JL Villarreal… - Intelligent Systems and …, 2024 - books.google.com
The job of software architects is vital for translating a list of requirements into a successful
software product. Specifically, they are in charge of evaluating a list of requirements that the …
software product. Specifically, they are in charge of evaluating a list of requirements that the …
Using Generative Artificial Intelligence for Suggesting Software Architecture Patterns from Requirements
B Gustrowsky, JL Villarreal, GH Alférez - Intelligent Systems Conference, 2024 - Springer
The job of software architects is vital for translating a list of requirements into a successful
software product. Specifically, they are in charge of evaluating a list of requirements that the …
software product. Specifically, they are in charge of evaluating a list of requirements that the …
An Improved Deep Text Clustering Via Local Manifold of an Autoencoder Embedding
F Daneshfar, A Golzari Oskouei, M Dorosti… - papers.ssrn.com
Text clustering is a method for separating specific information from textual data and can
even classify text according to topic and sentiment, which has drawn much interest in recent …
even classify text according to topic and sentiment, which has drawn much interest in recent …
[PDF][PDF] A Flexible Clustering Pipeline for Mining Text Intentions.
Mining the latent intentions from large volumes of natural language inputs is a key step to
help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer service …
help data analysts design and refine Intelligent Virtual Assistants (IVAs) for customer service …