A reinforced active learning approach for optimal sampling in aspect term extraction for sentiment analysis
M Venugopalan, D Gupta - Expert Systems with Applications, 2022 - Elsevier
Aspect level sentiment analysis is a fine grained task in sentiment analysis which identifies
the product features from an opinionated piece of text and maps the sentiment towards each …
the product features from an opinionated piece of text and maps the sentiment towards each …
Building an explainable diagnostic classification model for brain tumor using discharge summaries
A brain tumor is a mass of cells growing abnormally in the brain. The lesions formed in the
suprasellar region of the brain, called suprasellar lesions, affect common anatomical …
suprasellar region of the brain, called suprasellar lesions, affect common anatomical …
Predicting Tumor Type and Residual Status of Suprasellar Lesions Using Indian Discharge Summaries
A suprasellar lesion is an unusual mass in the suprasellar region in the brain. Some
common suprasellar lesions include Pituitary Adenoma, Craniopharyngioma and …
common suprasellar lesions include Pituitary Adenoma, Craniopharyngioma and …
An efficient sentiment analysis based deep learning classification model to evaluate treatment quality
Extracting information using an automated system from unstructured medical documents
related to patients discharge summaries in the health care centers is considered a big …
related to patients discharge summaries in the health care centers is considered a big …
Multi-Class Prediction of Suicide Behavior of Adolescents Using Machine Learning Approach
Suicide, a leading global cause of mortality, is a highly debated topic. Teenagers face
increased psychological stress and self-doubt, making them more vulnerable to suicide. The …
increased psychological stress and self-doubt, making them more vulnerable to suicide. The …
Automatic Symptom Extraction from Unstructured Web Data for Designing Healthcare Systems
The Web pages provide unlimited source of information. The information available online is
helpful in designing various systems, especially in medical domain. The unstructured form of …
helpful in designing various systems, especially in medical domain. The unstructured form of …
A scalable multi-disease modeled CDSS based on Bayesian network approach for commonly occurring diseases with a NLP-Based GUI
A clinical decision support system (CDSS) is a useful support system for healthcare
professionals in initial diagnosis of diseases. Symptoms described by patients are key inputs …
professionals in initial diagnosis of diseases. Symptoms described by patients are key inputs …
An In-Depth Exploration of Image Captioning Training Approaches and Performance Analysis
K Kushal, M Manoj, K Reddy… - 2024 IEEE 9th …, 2024 - ieeexplore.ieee.org
In the rapidly evolving landscape of computer vision, image captioning has emerged as a
challenging task. This report explores the techniques involved in image captioning using …
challenging task. This report explores the techniques involved in image captioning using …
Bitcoin Price Prediction Based on Sentiment Analysis
J Manogna, GS Chowdary… - 2023 IEEE 20th India …, 2023 - ieeexplore.ieee.org
Bitcoin is a decentralized digital currency that has received a lot of interest in recent years
because of its unique qualities and possibilities as an alternative investment. Trading in …
because of its unique qualities and possibilities as an alternative investment. Trading in …
A Hybrid Approach for Multimedia Summarization
MA Grandhi, S Bhaskaran - 2022 IEEE North Karnataka …, 2022 - ieeexplore.ieee.org
Text summarization is the basic method in NLP (Natural Language Processing) application
which makes the text data into a shorter version. All over the world a lot of multimedia data is …
which makes the text data into a shorter version. All over the world a lot of multimedia data is …