Sentiment analysis plays an important role in understanding individual opinions expressed
in websites such as social media and product review sites. The common approaches to …

Document level sentiment analysis, the task of determining whether the sentiment
expressed in a document is positive or negative, is commonly performed by supervised …

Over the last two decades and with the widespread use of social media and e-commerce
sites, scientific research in the field of sentiment analysis (SA) has made considerable …

Sentiment Analysis (SA) is focused on mining opinion (identification and classification) from
unstructured text data such as product reviews or microblogs. It is widely used for brand …

Sentiment Analysis is a process that aids in assessing the performance of products or
services from user generated online posts. In present time, there are various websites that …

The web and social media have been growing exponentially in recent years. We now have
access to documents bearing opinions expressed on a broad range of topics. This …

Sentiment classification seeks to identify general attitude of a piece of text of comments or
reviews on certain subject, be it positive or negative. Most existing researches on sentiment …

Sentiment analysis is a growing area of research with significant applications in both
industry and academia. Most of the proposed solutions are centered around supervised …

Sentiment analysis aims to categorize opinions using an annotated corpus to train the
model. However, building a high-quality, fully annotated corpus takes a lot of effort, time, and …

In the past few years, the growth of e-commerce and digital marketing in Vietnam has
generated a huge volume of opinionated data. Analyzing those data would provide …