[PDF][PDF] A study on sentiment analysis techniques of Twitter data

A Alsaeedi, MZ Khan - … Journal of Advanced Computer Science and …, 2019 - academia.edu
The entire world is transforming quickly under the present innovations. The Internet has
become a basic requirement for everybody with the Web being utilized in every field. With …

Machine learning-based state-of-the-art methods for the classification of rna-seq data

A Jabeen, N Ahmad, K Raza - … in BioApps: Automation of Decision Making, 2018 - Springer
Ribonucleic acid sequencing (RNA-Seq) measures the expression levels of several
transcripts simultaneously. The readings can be gene, exon, or other regions of interest …

A recommendation mechanism for under-emphasized tourist spots using topic modeling and sentiment analysis

W Shafqat, YC Byun - Sustainability, 2019 - mdpi.com
With rapid advancements in internet applications, the growth rate of recommendation
systems for tourists has skyrocketed. This has generated an enormous amount of travel …

Machine learning for disease surveillance or outbreak monitoring: a review

M Cabatuan, M Manguerra - 2020 IEEE 12th International …, 2020 - ieeexplore.ieee.org
Amidst the global pandemic, the methodical acquisition, analysis, and evaluation of health-
related data is crucial to learn from experience and strengthen preparedness for future …

Automatic classification of apps reviews for requirement engineering: Exploring the customers need from healthcare applications

N Al Kilani, R Tailakh, A Hanani - 2019 sixth international …, 2019 - ieeexplore.ieee.org
In one year, more than 6.5 million mobile applications have been listed for download on the
application stores. That is, they are used by millions (or billions) of users across the world …

An investigation and evaluation of N-Gram, TF-IDF and ensemble methods in sentiment classification

SSMM Rahman, KBMB Biplob, MH Rahman… - Cyber Security and …, 2020 - Springer
In the area of sentiment analysis and classification, the performance of the classification
tasks can be varied based on the usage of text vectorization and feature extraction methods …

Sentiment Analysis on Social Distancing and Physical Distancing on Twitter Social Media using Recurrent Neural Network (RNN) Algorithm

FA Nugraha, NH Harani, R Habibi… - Jurnal Online …, 2020 - join.if.uinsgd.ac.id
The government is seeking preventive steps to reduce the risk of the spread of Covid-19,
one of which is social restrictions that have become popular with social distancing and …

[HTML][HTML] A methodology for the resolution of cashtag collisions on Twitter–A natural language processing & data fusion approach

L Evans, M Owda, K Crockett, AF Vilas - Expert Systems with Applications, 2019 - Elsevier
Investors utilise social media such as Twitter as a means of sharing news surrounding
financials stocks listed on international stock exchanges. Company ticker symbols are used …

Comprehensive Study on Sentiment Analysis: Types, Approaches, Recent Applications, Tools and APIs

B Saju, S Jose, A Antony - 2020 Advanced Computing and …, 2020 - ieeexplore.ieee.org
Sentiment analysis can be considered a major application of machine learning, more
particularly natural language processing (NLP). As there are varieties of applications …

Supervised ensemble machine learning aided performance evaluation of sentiment classification

SSMM Rahman, MH Rahman, K Sarker… - Journal of Physics …, 2018 - iopscience.iop.org
Text vectorization, features extraction and machine learning algorithms play a vital role to
the field of sentiment classification. Accuracy of sentiment classification varies depending on …