UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 4 Issue 6
June-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1706025


Registration ID:
170389

Page Number

119-121

Share This Article


Jetir RMS

Title

Mining The Quality Of Various Aspects Of Hotel

Abstract

The process of analyzing the text about a topic written in a natural language and classifying them as positive or negative based on the human sentiments, emotions, opinions expressed in it is called as Opinion mining or sentiment analysis. Now a day’s there is huge growth in the use of social media (e.g. reviews, forum discussions, blogs, Twitter, comments, and postings in social network sites) on the Web where users can express their opinions about a product or topic. Users can express their opinions through the reviews. These reviews are used by any individual or organization for decision making. Analyzing and extracting opinions manually from such huge number of reviews is practically impossible. Hence to overcome or solve this problem an automated opinion mining approach is required. It is difficult for a user to read and understand all reviews and comments posted on social media or any other website. Relevant and important information about these establishments should be fetched from reviews and presented to user in summarized manner. This project mainly focuses on the aspect based opinion mining. The main tasks in aspect based opinion mining are identification aspects, identification of aspect based opinion word and its orientation detection. Current approaches for opinion mining, attempt to detect the overall polarity of a sentence, paragraph or text span regardless of the aspects mentioned in it. We have proposed a new syntactic based approach for aspect based opinion mining which uses aggregate score of opinion words and aspect table together for opinion mining process.

Key Words

aspect based opinion mining, frequent item set mining, sentiment orientation.

Cite This Article

"Mining The Quality Of Various Aspects Of Hotel", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.119-121, June-2017, Available :http://www.jetir.org/papers/JETIR1706025.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mining The Quality Of Various Aspects Of Hotel", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp119-121, June-2017, Available at : http://www.jetir.org/papers/JETIR1706025.pdf

Publication Details

Published Paper ID: JETIR1706025
Registration ID: 170389
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 119-121
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003076

Print This Page

Current Call For Paper

Jetir RMS