In the recent decades, the online product sentiment analysis is an emerging research topic
that assists the customers to take better decisions on purchasing the products and to …

Almost all educational institutions have shifted their academic activities to digital platforms
due to the recent COVID-19 epidemic. Because of this, it is very important to assess how …

Ultraviolet (UV) radiation is the sun and tanning Exposed by artificial sources such as beds
Is a form of nonionizing radiation. Vitamin B1 in foods While there are some benefits to …

Abstract Direktorat Lalu Lintas POLDA Jawa Tengah, BPPD Provinsi Jawa Tengah, dan PT.
Jasa Raharja Jawa Tengah menciptakan terobosan pembuatan aplikasi Sistem …

Gender controversies and stigmatization on the internet occur from time to time. This
research analyzes the “Yang Li Event” by crawling 10,507 posts on Weibo and sampling …

The use of semantic models is relevant in automated learning systems, in solving certain
tasks, such as: extracting knowledge from texts, information retrieval, abstracting, checking …

Over the past ten years, the number of internet users has increased tremendously. Due to
the e-commerce industry's fast growth, practically all goods are now sold online. Before …

Customer opinions on a product or retailer can be assessed through analyzing their textual
reviews submitted to online communities. While the attitudinal information of a text post can …

In this study, a method is proposed to represent the corresponding viewpoints and features
in the form of graphs for observing the sentiment of the subscribers based on product review …

Forecasting the election results is a tedious task that tends to be stochastic. Analyzing the
public sentiment is erratic.“PollVue” employs Python, NLTK, Firebase, Streamlit, and Scikit …