Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries

D Sunitha, RK Patra, NV Babu, A Suresh… - Pattern recognition …, 2022 - Elsevier
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …

Quantitative risk assessment of railway intrusions with text mining and fuzzy Rule-Based Bow-Tie model

Y Huang, Z Zhang, Y Tao, H Hu - Advanced Engineering Informatics, 2022 - Elsevier
With the increasing traveling speed of railway transportation, rail right-of-way intrusions can
cause high-consequence accidents and pose severe challenges to railway safety. Although …

Classification and prioritisation of software requirements using machine learning–a systematic review

P Talele, R Phalnikar - … on cloud computing, data science & …, 2021 - ieeexplore.ieee.org
Requirement Engineering (RE) plays an integral role throughout the process of software
development. Requirement identification and prioritisation are the foremost phases of the …

Multi-label classification of e-commerce customer reviews via machine learning

E Deniz, H Erbay, M Coşar - Axioms, 2022 - mdpi.com
The multi-label customer reviews classification task aims to identify the different thoughts of
customers about the product they are purchasing. Due to the impact of the COVID-19 …

Multiple weak supervision for short text classification

LM Chen, BX Xiu, ZY Ding - Applied Intelligence, 2022 - Springer
For short text classification, insufficient labeled data, data sparsity, and imbalanced
classification have become three major challenges. For this, we proposed multiple weak …

Comparison and evaluation of different methods for the feature extraction from educational contents

J Aguilar, C Salazar, H Velasco, J Monsalve-Pulido… - Computation, 2020 - mdpi.com
This paper analyses the capabilities of different techniques to build a semantic
representation of educational digital resources. Educational digital resources are modeled …

Indonesian Sentiment Analysis: An Experimental Study of Four Kernel Functions on SVM Algorithm with TF-IDF

PH Prastyo, I Ardiyanto… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Recently, Indonesian sentiment analysis is a hot research field, especially for twitter data.
Many approaches can be used to classify people's sentiment on Twitter. One of the best …

Hate speech detection in twitter using natural language processing

B Pariyani, K Shah, M Shah, T Vyas… - … and Virtual Mobile …, 2021 - ieeexplore.ieee.org
Twitter's central goal is to enable everybody to make and share thoughts and data, and to
communicate their suppositions and convictions without boundaries. Twitter's job is to serve …

Semantic Annotation of IoT Resource with ontology orchestration

AA Chikkamannur - 2020 Third International Conference on …, 2020 - ieeexplore.ieee.org
With the proliferation of multiple heterogeneous IoT devices in the ecosystem, discovering
the best IoT resource has become a challenge. Integration of semantic technologies can …

Automatic labeling of river restoration project documents based on project objectives and restoration methods

L Chen, Y Wang, S Mo - Expert Systems with Applications, 2022 - Elsevier
River restoration projects are widely implemented around the world. Such projects are
usually complicated endeavors. Engineering, environmental, and social impacts must be …