PPT-Detecting Cyberbullying using Latent Semantic Indexing(LSI)

Jacob Bigelow April Edwards Lynne Edwards Ursinus College Motivation for using LSI Latent Semantic Indexing is thought to bring out the latent semantics amongst a corpus of texts Breaks a term by document matrix down and reduces the sparseness adding values that represent relationships between words. OT 122. Chapter Two. Intro. Must be a consistent system to work!. Indexing?. Selecting the filing segment under which to store a record and determining the order in which the units should be considered. IR Metrics. Latent Semantic Analysis. and Indexing. Crista. Lopes. Outline. Precision and Recall. The problem with indexing so far. Intuition for solving it. Overview of the solution. The Math. How to measure. The essential step in searching. Review a bit. We have seen so far . Crawling . In the abstract and as implemented. Your own code and . Nutch. If you are unsure about anything related to crawling, be sure to speak up now!. MEDT 8201. By Kimberly Sharp. What is Cyberbullying?. . “Cyberbullying is using electronic means to bully, harass and otherwise make life miserable for people.” . . Mike Donlin, manager of federal technology programs and cyberbullying education & prevention efforts, Seattle Public Schools (http://www.schoolcio.com/ShowArticle/1030). Analysis. . . Kai-Wei Chang. Joint work with. . Scott Wen-tau . Yih, Chris Meek. Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language. --Presented By . Sudheer. . Chelluboina. .. Professor: . Dr.Maggie. Dunham. Contents . Outline of Paper. Introduction . Index Structures. Due to rapid increase in the use of location based services applications, large amount of location data of moving object is recorded. Because of that efficient indexing techniques are required to manage these large amounts of trajectory data. All index structures are focused on either indexing past, current and future locations. Every indexing structure or techniques discussed in this paper will make simpler indexing or it will increase the overall query processing performance. . Goals:. Store large files. Support multiple search keys. Support efficient insert, delete, and range queries. 2. Files and Indexing. Entry sequenced file. : Order records by time of insertion.. Search with sequential search. Kelsy Streeter, BSN, RN-BC. Arizona State University. What is cyberbullying?. Cyberbullying (CB) is bullying through electronic communication technologies. Key traits of bullying. Repetition. Intentionally. Finding Collaborative Solutions. Overview. Background: definitions, epidemiology, effects. Policy and legal aspects . Cyberbullying and K12 schools . Working with teens involved in cyberbullying. Case discussions. Lioma. Lecture . 18: Latent Semantic Indexing. 1. Overview. Latent semantic indexing . Dimensionality reduction. LSI in information retrieval. 2. Outline. Latent semantic indexing . Dimensionality reduction. Kelsy Streeter, BSN, RN-BC. Arizona State University. What is cyberbullying?. Cyberbullying (CB) is bullying through electronic communication technologies. Key traits of bullying. Repetition. Intentionally. LSI Industries Inc. 10000 Alliance Rd. Cincinnati, OH 45242 • www.lsi-industries.com • (513) 372-3200 LSI Industries Inc. 10000 Alliance Rd. Cincinnati, OH 45242 • www.lsi-industries.co and recognise examples of it. Students can . understand how using the term ‘gay’ can be offensive . to others and what the school anti-bullying policy says about it. Students can . identify which actions cross the line . DR. . Rola. . Bazzi. -Gates. School Social Worker. Iris Becker School. What Is . Cyberbullying. ? . Cyberbullying. is like playground bullying, but it's done either online or with cell phones. It can take the form of individual harassment, public humiliation, or both. The viral nature of online life and cell phones makes sending humiliating or degrading messages, pictures, or videos simple and immediate. And anonymous. Screen names easily disguise bullies' identities. Sometimes they can even pretend to be the victims, posting comments that look like the victims wrote them. Other times, the .