منابع مشابه
Sentiment Analysis of Movie Review Comments
This paper presents an empirical study of efficacy of machine learning techniques in classifying text messages by semantic meaning. We use movie review comments from popular social network Digg as our data set and classify text by subjectivity/objectivity and negative/positive attitude. We propose different approaches in extracting text features such as bag-of-words model, using large movie rev...
متن کاملSentiment analysis methods in Sentiment analysis methods in Persian text: A survey
With the explosive growth of social media such as Twitter, reviews on e-commerce website, and comments on news websites, individuals and organizations are increasingly using opinions in these media for their decision making. Sentiment analysis is one of the techniques used to analyze userschr('39') opinions in recent years. Persian language has specific features and thereby requires unique meth...
متن کاملSentiment Classification of Food Reviews
16 Sentiment analysis of reviews is a popular task in natural language processing. In this work, 17 the goal is to predict the score of food reviews on a scale of 1 to 5 with two recurrent neural 18 networks that are carefully tuned. As for baseline, we train a simple RNN for classification. 19 Then we extend the baseline to GRU. In addition, we present two different methods to deal 20 with hig...
متن کاملTargeted Sentiment to Understand Student Comments
We address the task of targeted sentiment as a means of understanding the sentiment that students hold toward courses and instructors, as expressed by students in their comments. We introduce a new dataset consisting of student comments annotated for targeted sentiment and describe a system that can both identify the courses and instructors mentioned in student comments, as well as label the st...
متن کاملSentiment Analysis of Social Networking Data Using Categorized Dictionary
Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task. In this paper, a method to improve the sentiment accuracy by utilizing the concept of categorized dictionary for sentiment classification and analysis is proposed. A categorized dictiona...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ECTI Transactions on Computer and Information Technology (ECTI-CIT)
سال: 1970
ISSN: 2286-9131,2286-9131
DOI: 10.37936/ecti-cit.201592.54421