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Sunday, July 16, 2017
What Is The Difference Between the Internet and World Wide Web?
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Many people use the terms Internet and World Wide Web (aka. the Web) interchangeably, but in fact the two terms are not synonymous. The Internet and the Web are two separate but related things.
What is The Internet?
The Internet is a massive network of networks, a networking infrastructure. It connects millions of computers together globally, forming a network in which any computer can communicate with any other computer as long as they are both connected to the Internet. Information that travels over the Internet does so via a variety of languages known as protocols.
What is The Web (World Wide Web)?
The World Wide Web, or simply Web, is a way of accessing information over the medium of the Internet. It is an information-sharing model that is built on top of the Internet. The Web uses the HTTP protocol, only one of the languages spoken over the Internet, to transmit data. Web services, which use HTTP to allow applications to communicate in order to exchange business logic, use the the Web to share information. The Web also utilizes browsers, such as Internet Explorer or Firefox, to access Web documents called Web pages that are linked to each other via hyperlinks. Web documents also contain graphics, sounds, text and video.
The Web is a Portion of The Internet
The Web is just one of the ways that information can be disseminated over the Internet. The Internet, not the Web, is also used for email, which relies on SMTP, Usenet news groups, instant messaging and FTP. So the Web is just a portion of the Internet, albeit a large portion, but the two terms are not synonymous and should not be confused.
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REFERENCE: http://www.webopedia.com/DidYouKnow/Internet/Web_vs_Internet.asp Read More
What Is Web?
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The Web, or World Wide Web (W3), is basically a system of Internet servers that support specially formatted documents. The documents are formatted in a markup language called HTML (HyperText Markup Language) that supports links to other documents, as well as graphics, audio, and video files. This means you can jump from one document to another simply by clicking on hot spots. Not all Internet servers are part of the World Wide Web. According to WorldWideWebSize.com the indexed Web contains at least 3.32 billion pages as of July 10, 2014.
There are several applications called Web browsers that make it easy to access the World Wide Web; Two of the most popular being Firefox and Microsoft's Internet Explorer.
World Wide Web is not synonymous with the Internet. Learn more in The Difference Between the Internet and the World Wide Web
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REFERENCE: http://www.webopedia.com/TERM/W/World_Wide_Web.html Read More
Wednesday, April 12, 2017
Sentiment Resources: Lexicons and Datasets
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Abstract
Sentiment lexicons and datasets represent the knowledge base that lies at the foundation of a SA system. In its simplest form, a sentiment lexicon is a repository of words/phrases labelled with sentiment. Similarly, a sentiment-annotated dataset consists of documents (tweets, sentences or longer documents) labelled with one or more sentiment labels. This chapter explores the philosophy, execution and utility of popular sentiment lexicons and datasets. We describe different labelling schemes that may be used. We then provide a detailed description of existing sentiment and emotion lexicons, and the trends underlying research in lexicon generation. This is followed by a survey of sentiment-annotated datasets and the nuances of labelling involved. We then show how lexicons and datasets created for one language can be transferred to a new language. Finally, we place these sentiment resources in the perspective of their classic applications to sentiment analysis.
Keywords
Sentiment lexicons Sentiment datasets Evaluation Transfer learning
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Tuesday, March 1, 2016
Affective Computing and Sentiment Analysis
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Abstract
Understanding emotions is one of the most important aspects of personal development and growth and, as such, it is a key tile for the emulation of human intelligence. Besides being a important for the advancement of AI, emotion processing is also important for the closely related task of polarity detection. The opportunity automatically to capture the sentiments of the general public about social events, political movements, marketing campaigns, and product preferences, in fact, has raised increasing interest both in the scientific community, for the exciting open challenges, and in the business world, for the remarkable fallouts in marketing and financial market prediction. This has led to the emerging fields of affective computing and sentiment analysis, which leverage on human-computer interaction, information retrieval, and multimodal signal processing for distilling people’s sentiments from the ever-growing amount of online social data.
Keywords
Affective computing • Sentiment analysis • Five eras of the Web • Jumping NLP curves • Hybrid approaches
Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, and Antonio Feraco
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