Classification of tweets data based on polarity using improved RBF kernel of SVM

AP Gopi, RNS Jyothi, VL Narayana… - International Journal of …, 2023 - Springer
The sentiment analysis has gained its importance in recent years. People had improved
their way of expressing their opinions about products, services, celebrities, and current …

Retracted: Electronic Gadget Rating Model Using Feature Based Summarization

KV Kanimozhi, RB Jeyavathana… - 2021 International …, 2021 - ieeexplore.ieee.org
Nowadays things assessed by customers in the wake of purchasing the thing is growing
rapidly. For a notable thing, the amount of reviews can be unlimited. Nevertheless, with …

Sentiment labeling for extending initial labeled data to improve semi-supervised sentiment classification

S Lee, W Kim - Electronic Commerce Research and Applications, 2017 - Elsevier
In recent decades, analyzing the sentiments in online customer reviews has become
important to many businesses and researchers. However, insufficient amount of labeled …

Vehicle model classification using deep learning

P Ajitha, A Sivasangari - 2021 5th International Conference …, 2021 - ieeexplore.ieee.org
One of the most significant issues in modern road safety and intelligent transportation
systems is the automation of vehicle detection and identification. Many challenges have …

[PDF][PDF] Recognizing emotion in text using neural network and fuzzy logic

N Kanger, G Bathla - Indian Journal …, 2017 - sciresol.s3.us-east-2.amazonaws …
Objectives: To find out sentiment of people about a particular thing or objects and to classify
these sentiments. Methods: The common dialect handling techniques like fuzzy logic and …

Breast cancer detection using machine learning

A Sivasangari, P Ajitha, Bevishjenila, JS Vimali… - Mobile Computing and …, 2022 - Springer
The most commonly diagnosed and second leading cause of cancer fatalities is breast
cancer in women. AI and IoT integrated system that can help diagnose earlier breast cancer …

Online product review analysis to automate the extraction of customer requirements

A Mokadam, S Shivakumar… - International …, 2021 - asmedigitalcollection.asme.org
The increasing use of online retail platforms has generated an enormous amount of textual
data on the user experiences with these products in online reviews. These reviews provide a …

[PDF][PDF] Exploiting Polarity Features for Developing Sentiment Analysis Tool.

L Zafar, MT Afzal, U Ahmed - EMSASW@ ESWC, 2017 - researchgate.net
This paper proposes a system known as: SentiFinder (Sentiment Finder), a tool for sentiment
analysis of amazon data to identifying the intensity of sentiments either positive or negative …

[PDF][PDF] Fuzzy based summarization of product reviews for better analysis

G Anuradha, DJ Varma - Indian journal of science and technology, 2016 - researchgate.net
Fuzzy Based Summarization of Product Reviews for Better Analysis Page 1 Indian Journal of
Science and Technology, Vol 9(31), DOI: 10.17485/ijst/2016/v9i31/98481, August 2016 ISSN …

Evaluation of Polarity Features for Sentiment Analysis on Product Reviews

L Zafar, A Qamar, J Zareen - Pakistan Journal of …, 2023 - journals.internationalrasd.org
Customers express their opinions about products online, which influence potential buyers.
This feedback is valuable for manufacturers to enhance their products. Sentiment analysis …