1 / 15

Sentiment Analysis on social networking sites

Sentiment Analysis is the Process of computationally identifying and categorizing opinions from piece of text, and determine whether the writeru2019s attitude towards a particular topic/product/event is positive or negative or neutral.<br>

techieyantechnologies
Download Presentation

Sentiment Analysis on social networking sites

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SENTIMENT ANALYSIS ON SOCIAL NETWORKING SITES

  2. CONTENTS: Abstract ► Introduction ► Existing System ► Proposed System ► Modules ► Conclusion ► References ►

  3. ABSTRACT: Sentiment Analysis on social networking sites is a web Application. ► In this user will post his views related to some subject or event or product, other users will view this post and will comment on this post. ► Comments of various users, based on opinion, System will specify whether the posted topic is good or bad. ► System will use database and will rank the topic ► The role of the admin is to add post and adds keywords in database ►

  4. INTRODUCTION: Sentiment Analysis is the Process of computationally identifying and categorizing opinions from piece of text, and determine whether the writer’s attitude towards a particular topic/product/event is positive or negative or neutral. ► Classifying the polarity of a given text as positive or negative is the basic task of sentiment analysis. ► Sentiment analysis is used in different domains such as entertainment, education, shopping etc… ► Sentiment analysis is often referred to with different names such as Opinion Mining, Sentient classification, Sentiment analysis, and Sentiment extraction. ►

  5. EXISTING SYSTEM: Information propagates through social networks, which is typically supported by the three features of microblogs: short and simple contents. ► More and more users of microblogs tend to share small and big deals express opinions and sentiments on current issues and discuss various topics. ► Therefore, the huge amount of tweets provides us with rich information about real world events, in which opinions and sentiments are essential. ►

  6. DISADVANTAGES: Problem with calculation of tweets or comments score of the tweets or comment the given post. ▪ Retweeting the comments through the charts and telling hot opinions about topic ▪ Analysing ,calculating the score of tweets. ▪

  7. PROPOSED SYSTEM: We design and implement real-time prototype to perform opinion mining for tweets. ► Identifies opinion words using syntactic relations, and classifies sentiment orientation of the sentence with lexicon-based method and summarizes all the opinion triples. ► Lexicon-based sentiment analysis algorithm is proposed to calculate the sentiment score of tweets effectively ► Comments of various users, based on opinion, System will specify whether the posted topic is good or bad ► Implementation is done using SVM supervised machine learning algorithm by creating hyper planes ►

  8. Advantages: Automatically give rating to the comments whether the given post is Good or Bad. ► To Overcome the calculating score of tweets or comments. ► Lexicon-based algorithm is easy to understand. ►

  9. Software Requirements: Front End : Python, HTML ► Back End : MySql ►

  10. Hardware Requirements: Processor : i3 ► Hard Disk : 5GB ► Memory : 1GB RAM ►

  11. Modules: ? ? Admin Module: ▪ Add post ▪ Add Keywords ?User Module: ▪ User signup ▪ Edit profile ? ? Comment Module: ▪ Comment ▪ View comment ▪ Rating calculation ?Status: ▪ Status Upload

  12. Conclusion: This system is useful for the users who need review about their new idea and also useful for the users who need review about any particular event that is posted. ► This application also works as an advertisement which makes many people aware about the topic posted. ►

  13. Reference: “Sentiment analysis and opinion mining”, synthesis Lectures on Human Language Technologies. ► “Mining and summarizing customer reviews”, in proceedings of the Tenth ACM SIGKDD International Conference on knowledge Discovery and Data Mining. ►

  14. About TechieYan Technologies: TechieYan Technologies offers a special platform where you can study all the most cutting-edge technologies directly from industry professionals and get certifications. TechieYan collaborates closely with engineering schools, engineering students, academic institutions, the Indian Army, and businesses. Address: 16-11-16/V/24, Sri Ram Sadan, Moosarambagh, Hyderabad, Telangana 500036 Phone no: 070755 75787 Website : https://techieyantechnologies.com/

  15. THANK YOU

More Related