MBiLSTMGloVe: Embedding GloVe knowledge into the corpus using multi-layer BiLSTM deep learning model for social media sentiment analysis
A Pimpalkar - Expert Systems with Applications, 2022 - Elsevier
The fast improvement and transformation of online media and unique sites with critical
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
reviews of items, movies, goods, etc. have created a tremendous assortment of assets for …
[PDF][PDF] Multi-tier sentiment analysis of social media text using supervised machine learning
Sentiment Analysis (SA) is often referred to as opinion mining. It is defined as the extraction,
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
identification, or characterization of the sentiment from text. Generally, the sentiment of a …
Cryptocurrencies, systematic literature review on their current context and challenges
The financial crisis of 2008 breached society's trust in banks and centralized financial
institutions. Bitcoin appeared as a response to those transgressions, proving that the …
institutions. Bitcoin appeared as a response to those transgressions, proving that the …
Inquest of current situation in Afghanistan under Taliban rule using sentiment analysis and volume analysis
Microblogging websites and social media platforms serve as a potential source for mining
public opinions and sentiments on a variety of subjects including the prevailing situations in …
public opinions and sentiments on a variety of subjects including the prevailing situations in …
Producer-consumer sustainability continuum: Mutual understanding to implement extended producer responsibility
It is widely accepted today that extended producer responsibility (EPR) is a legal means of
ensuring sustainable production. As a result, the producer is responsible for environmental …
ensuring sustainable production. As a result, the producer is responsible for environmental …
Leveraging unstructured electronic medical record notes to derive population-specific suicide risk models
Electronic medical record (EMR)-based suicide risk prediction methods typically rely on
analysis of structured variables such as demographics, visit history, and prescription data …
analysis of structured variables such as demographics, visit history, and prescription data …
Computer Vision: A Review on 3D Object Recognition
Y Mezquita, A González-Briones, P Wolf… - … Symposium on Distributed …, 2023 - Springer
Abstract Three-dimensional (3D) object recognition is one of the fundamental tasks in
computer vision applications, paving the way for all other image understanding operations …
computer vision applications, paving the way for all other image understanding operations …
A trajectory big data storage model incorporating partitioning and spatio-temporal multidimensional hierarchical organization
Z Yao, J Zhang, T Li, Y Ding - ISPRS International Journal of Geo …, 2022 - mdpi.com
Trajectory big data is suitable for distributed storage retrieval due to its fast update speed
and huge data volume, but currently there are problems such as hot data writing, storage …
and huge data volume, but currently there are problems such as hot data writing, storage …
Job Applications Selection and Identification: Study of Resumes with Natural Language Processing and Machine Learning
A Pimpalkar, A Lalwani, R Chaudhari… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
For each job ad, the organization received a high number of applicants. Finding the right
person's application from various applications is a time-consuming task for any company …
person's application from various applications is a time-consuming task for any company …
Analyzing preventive precautions to limit spread of COVID-19
With the global spread of COVID-19, the governments advised the public for adopting safety
precautions to limit its spread. The virus spreads from people, contaminated places, and …
precautions to limit its spread. The virus spreads from people, contaminated places, and …