عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
NATIONAL BIBLIOGRAPHY NUMBER
Number
TL51278
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Applications of Neural Networks in Natural Language Processing
General Material Designation
[Thesis]
First Statement of Responsibility
Kavousi, Mohammadamir
Subsequent Statement of Responsibility
Sayeh, Mohammad
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
Southern Illinois University at Carbondale
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
52 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
Southern Illinois University at Carbondale
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
User-generated texts such as reviews and social media are valuable sources of information. Online reviews are important assets for users to buy a product, see a movie, or choose a restaurant. Therefore, rating of a review is one of the reliable factors for all the users to read and trust the reviews. This paper will use the text of the reviews to evaluate the ratings. Moreover, we will study the effect of features generated from text and sentimental words on the prediction accuracy. We show that while using sparse matrix is not ideal for any prediction, increasing the number of the attributes in the feature matrix is not helpful in enhancing the prediction of the ratings.
UNCONTROLLED SUBJECT TERMS
Subject Term
Artificial intelligence
Subject Term
Electrical engineering
PERSONAL NAME - PRIMARY RESPONSIBILITY
Kavousi, Mohammadamir
PERSONAL NAME - SECONDARY RESPONSIBILITY
Sayeh, Mohammad
CORPORATE BODY NAME - SECONDARY RESPONSIBILITY
Southern Illinois University at Carbondale
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب p
[Thesis]
276903
a
Y
