Developing of Q&A bots for medicinal disclosure for CKD-patients
J Berchtold - 2023 - digitalcollection.zhaw.ch
This thesis was a subproject of the RealCo project by Prof. Dr. Thomas Keller at ZHAW
which provides information about a medication called SGLT2 inhibitors to patients with …
which provides information about a medication called SGLT2 inhibitors to patients with …
Reassessing Glove Embeddings in Deep Learning: A Comparative Study with Classical ML Approaches
The importance of text classification algorithms has increased due to the growing availability
of large-scale data. This has led to a greater demand for efficient classification techniques …
of large-scale data. This has led to a greater demand for efficient classification techniques …
Sentiment Analysis of Consumer Reviews Using Machine Learning Approach
RI Rudra, AK Gopalakrishnan - 2023 20th International Joint …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a beneficial method in natural language processing to understand the
sentiments of end consumers. This research is focused on sentiment analysis on the IMDb …
sentiments of end consumers. This research is focused on sentiment analysis on the IMDb …
A Hybrid Deep Learning Approach for Spam Detection in Twitter.
H Loucif - Ingénierie des Systèmes d'Information, 2024 - search.ebscohost.com
Detecting malicious user accounts on Twitter has become an active area of research in
social network analysis. This kind of ill-intentioned users send undesired tweets to other …
social network analysis. This kind of ill-intentioned users send undesired tweets to other …
[PDF][PDF] Performance Evaluation of Word Embedding Algorithms
S Kulshretha, L Lodha - Performance Evaluation, 2023 - researchgate.net
This study intends to explore the field of word embedding and thoroughly examine and
contrast various word embedding algorithms. Words retain their semantic relationships and …
contrast various word embedding algorithms. Words retain their semantic relationships and …