Instant Download

Download your project material immediately after online payment.

Project File Details


3,000.00

100% Money Back Guarantee

File Type: MS Word (DOC) & PDF

File Size:  823KB

Number of Pages:49

 

ABSTRACT

 

 

 

TABLE OF CONTENTS

 

Declaration …………………………………………………………………………………………………………2
Abstract ……………………………………………………………………………………………………………..4
Objectives ………………………………………………………………………………………………………….5
Definitions ………………………………………………………………………………………………………….7
List of Tables ………………………………………………………………………………………………………8
List of Figures …………………………………………………………………………………………………….9
1.Introduction ……………………………………………………………………………………………………10
2.0 Literature Review ……………………………………………………………………………………….. 11
2.1 Structured and Unstructured data ………………………………………………………………….. 13
2.2 Terminology ………………………………………………………………………………………………. 13
2.3 Fundamentals of Sentiment Analysis ……………………………………………………………. 14
2.3.1 Semantic Orientation ……………………………………………………………………………….. 14
2.3.2 Sentiment Classification …………………………………………………………………………….15
2.4 Document – level approach to Sentiment Analysis:Unsupervised ………………………15
2.5 Document – level approach to Sentiment Analysis:Machine Learning……………….. 18
2.6 Other related Document Level Approaches ……………………………………………………..20
2.7 Sentence level ………………………………………………………………………………………………21
2.7.1Subjectivity Classification ………………………………………………………………………….. 21
2.7.2 Sentence level Classification methods ………………………………………………………… 22
2.8 Feature based Opinion Summarization …….. ……………………………………………….. 26
2.9 Summary …………………………………………………………………………………………………… 27
3 Methodology ………………………………………………………………………………………………… 28
3.1 Dataset ………………………………………………………………………………………………………. 28
3.2.1 P.O.STagging …………………………………………………………………………………………… 28
3.3 APIs ………………………………………………………………………………………………………….. 29
3.3.1YahooBossAPI …………………………………………………………………………………………. 29
3.3.2 Google AJAX Search API …………………………………………………………………………. 29
3.3.3 Google WEB 1T grams …………………………………………………………………………….. 30
3.3.4 Yahoo Ordered Search ………………………………………………………………………………. 32
3.3.5 Google Ordered Search ………………………………………………………………………………33
3.4 Exalead Search Engine ………………………………………………………………………………….36
4.0Experiment …………………………………………………………………………………………………. 37
4.1 Summary of results ……………………………………………………………………………………… 39
5.0Conclusion ………………………………………………………………………………………………….. 42
Bibliography ……………………………………………………………………………………………………. 53
7

 

CHAPTER ONE

. Introduction: Overview
Sentiment analysis is a technique that allows computers analyse texts from comments,
blogs, review aggregation websites and various types of social media to determine
opinions about products and services or a domain such as movie reviews. The aim is to
extract opinions, emotions and sentiments in the text. The sentiment of the text is then
categorized into positive or negative, recommended (thumbs up) or not recommended
(thumbs down) or scaled into 1 to 5 star categories. Amazon1 for instance, use star
ratings.
Sentiment analysis application areas are for example, a brand tracking what
bloggers are saying about a new product or service. As more consumers make purchases
online, this potential customers go through reviews left by other customers who have
purchased a similar product often basing their decision to buy on the ratings. A five star
product is more likely to be preferred over a 2 star product. Tracking this opinions is in
the interest of the product manufacturer as well.
However, the application of sentiment analysis is not restricted only to consumer
goods sector. Sentiment analysis tasks could be applied to get political opinions of
anybody. It could be applied to newspapers stories or editorials. This when applied to
different news sources could help highlight different opinion holders in media. This
knowledge can then be used for targeted adverts. Also, businesses can track new product
perception, detect flames and general brand perception.
Www.amazon.com/uk

 

GET THE FULL WORK

DISCLAIMER: All project works, files and documents posted on this website, projects.ng are the property/copyright of their respective owners. They are for research reference/guidance purposes only and the works are crowd-sourced. Please don’t submit someone’s work as your own to avoid plagiarism and its consequences. Most of the project works are provided by the schools' libraries to help in guiding students on their research. Use it as a guidance purpose only and not copy the work word for word (verbatim). If you see your work posted here, and you want it to be removed/credited, please call us on +2348157165603 or send us a mail together with the web address link to the work, to hello@projects.ng. We will reply to and honor every request. Please notice it may take up to 24 or 48 hours to process your request.