This document discusses opinion mining and sentiment analysis. It begins by explaining that the rise of social media has created opportunities to understand public opinions on various topics by analyzing user comments. It then defines opinion mining as using computational techniques to extract, classify, understand and assess opinions expressed online, with sentiment analysis identifying sentiments in text. The document goes on to provide hardware and software requirements for a proposed system related to these techniques.

1. GLOBALSOFT TECHNOLOGIES
AI and Opinion Mining
Abstract
The advent of Web 2.0 and social media content has stirred much excitement and created
abundant opportunities for understanding the opinions of the general public and consumers
toward social events, political movements, company strategies, marketing campaigns, and
product preferences. Many new and exciting social, geopolitical, and business-related research
questions can be answered by analyzing the thousands, even millions, of comments and
responses expressed in various blogs (such as the blogosphere), forums (such as Yahoo Forums),
social media and social network sites (including YouTube, Facebook, and Flikr), virtual worlds
(such as Second Life), and tweets (Twitter). Opinion mining, a sub discipline within data mining
and computational linguistics, refers to the computational techniques for extracting, classifying,
understanding, and assessing the opinions expressed in various online news sources, social media
comments, and other user-generated content. Sentiment analysis is often used in opinion mining
to identify sentiment, affect, subjectivity, and other emotional states in online text.
Existing System
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com

2. The advent of Web 2.0 and social media content has stirred much excitement and created
abundant opportunities for understanding the opinions of the general public and consumers
toward social events, political movements, company strategies, marketing campaigns, and
product preferences.
Proposed system
Many new and exciting social, geopolitical, and business-related research questions can be
answered by analyzing the thousands, even millions, of comments and responses expressed in
various blogs (such as the blogosphere), forums (such as Yahoo Forums), social media and social
network sites (including YouTube, Facebook, and Flikr), virtual worlds (such as Second Life),
and tweets (Twitter). Opinion mining, a sub discipline within data mining and computational
linguistics, refers to the computational techniques for extracting, classifying, understanding, and
assessing the opinions expressed in various online news sources, social media comments, and
other user-generated content. Sentiment analysis is often used in opinion mining to identify
sentiment, affect, subjectivity, and other emotional states in online text.
System Specification
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 14’ Colour Monitor.
• Mouse : Optical Mouse.
• Ram : 512 Mb.

3. Software Requirements:
• Operating system : Windows 7.
• Coding Language : ASP.Net with C#