The objective of this work is to propose a text mining based approach that supports Human
Resources Management (HRM) in detecting subjectivity in staff performance appraisals. The …

Opinion mining applications work with a large number of opinion holders. This means a
summary of opinions is important so we can easily interpret holders' opinions. The aim of …

Opinion mining is an interested area of research, which epitomize the customer reviews of a
product or service and express whether the opinions are positive or negative. Various …

Opinion mining or sentiment analysis is a type of natural language processing that extracts
the knowledge of people by means of opinion about a particular topic. The identification of …

Purpose Student recruitment and retention are important issues for all higher education
institutions. Constant monitoring of student satisfaction levels is therefore crucial …

This research is to develop an opinion mining application which allows users to clarify what
the reviews on the laptop mentioned. The aim of the research is to analyze user's opinions …

With the rapid growth of unstructured data accessible via web, managing these data and
finding undiscovered information in huge dataset become a necessary task. Consequently …

Knowledge revealed by sentiment analysis of student generated contents on higher
education can be used to improve the operations of higher education institutions. But higher …

As social networks and online sites are growing rapidly, people can express their opinions
in the form of comments and reviews. To analyze such opinionated reviews, the proposed …

Every system needs continuous improvement. Feedback from different stakeholders plays a
crucial role here. From literature study, the need of textual feedback analysis for an …