Angebote zu "Machine" (117 Treffer)

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Twitter-Machine
11,43 € *
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Stephane Furic

Anbieter: Dodax
Stand: 22.01.2020
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Twitter : Sentiment Analysis of Current Affairs
54,90 € *
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Sentiment Analysis is an important type of text analysis that aims to support decision making by extracting & analyzing opinion text. Identifying positive & negative opinions & measuring how positively & negatively an entity is regarded. Sentiment analysis of social media data while the use of machine learning classifier for predicting the sentiment orientation provides a useful tool for the users to monitor brand or product sentiment.As more & more user express their views & opinion on twitter. So twitter becomes valuable sources of people's opinions. Tweets data can be used to infer people's opinion about marketing & social studies that can spot general people's opinion in regard to the social event which is going to be in current on twitter. Using this can obtain greater accuracy and identify people's opinion.

Anbieter: Dodax
Stand: 22.01.2020
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Twitter : Sentiment Analysis of Current Affairs
56,50 € *
ggf. zzgl. Versand

Sentiment Analysis is an important type of text analysis that aims to support decision making by extracting & analyzing opinion text. Identifying positive & negative opinions & measuring how positively & negatively an entity is regarded. Sentiment analysis of social media data while the use of machine learning classifier for predicting the sentiment orientation provides a useful tool for the users to monitor brand or product sentiment.As more & more user express their views & opinion on twitter. So twitter becomes valuable sources of people's opinions. Tweets data can be used to infer people's opinion about marketing & social studies that can spot general people's opinion in regard to the social event which is going to be in current on twitter. Using this can obtain greater accuracy and identify people's opinion.

Anbieter: Dodax AT
Stand: 22.01.2020
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Analysis of Malicious Detection of Short URLs f...
39,90 € *
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Online Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. Growing popularity of Twitter has attracted the attention of attackers who attempt to manipulate the features provided by Twitter to gain some advantage, such as driving Twitter users to other websites that they post as short URLs (Uniform Resource Locators) in their tweets.Even short URLs are also used to avoid sharing overly long URLs and save limited text space in tweets. Significant numbers of URLs shared in the OSNs are shortened URLs. Despite of its potential benefits from genuine usage, attackers use shortened URLs to hide the malicious URLs, which direct users to malicious pages. Although, OSN service providers and URL shortening services utilize certain detection mechanisms to prevent malicious URLs from being shortened, research has found that they fail to do so effectively.In this project, we developed mechanism to develop a machine learning classifier which detect malicious short URLs. And also shows comparative analysis of detection with various methods.

Anbieter: Dodax
Stand: 22.01.2020
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Analysis of Malicious Detection of Short URLs f...
41,10 € *
ggf. zzgl. Versand

Online Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. Growing popularity of Twitter has attracted the attention of attackers who attempt to manipulate the features provided by Twitter to gain some advantage, such as driving Twitter users to other websites that they post as short URLs (Uniform Resource Locators) in their tweets.Even short URLs are also used to avoid sharing overly long URLs and save limited text space in tweets. Significant numbers of URLs shared in the OSNs are shortened URLs. Despite of its potential benefits from genuine usage, attackers use shortened URLs to hide the malicious URLs, which direct users to malicious pages. Although, OSN service providers and URL shortening services utilize certain detection mechanisms to prevent malicious URLs from being shortened, research has found that they fail to do so effectively.In this project, we developed mechanism to develop a machine learning classifier which detect malicious short URLs. And also shows comparative analysis of detection with various methods.

Anbieter: Dodax AT
Stand: 22.01.2020
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SMADL - The Social Machines Architecture Descri...
74,00 € *
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The term 'Social Machine' (SM) has been commonly used as a synonym for what is known as the programmable web or web 3.0, where several web-based systems make their APIs publicly available and establish connections with each other under several and complex restrictions. Some definitions of a Social Machine have already been provided and they basically support the notion of relationships between distributed entities. The type of relationship molds which services would be provided or required by each machine, and under which constraints. In order to deal with the complexity of this emerging web, we present a language that can describe networks of Social Machines, named SMADL - the Social Machine Architecture Description Language. In few words, SMADL is as a relationship-driven language which can be used to describe the interactions between any number of machines in a multitude of ways, as a means to represent real machines interacting in the real web, such as, Twitter running on top of Amazon AWS or mash-ups built upon Google Maps, and obviously, as a means to represent interactions with other social machines too.

Anbieter: Dodax AT
Stand: 22.01.2020
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SMADL - The Social Machines Architecture Descri...
71,90 € *
ggf. zzgl. Versand

The term 'Social Machine' (SM) has been commonly used as a synonym for what is known as the programmable web or web 3.0, where several web-based systems make their APIs publicly available and establish connections with each other under several and complex restrictions. Some definitions of a Social Machine have already been provided and they basically support the notion of relationships between distributed entities. The type of relationship molds which services would be provided or required by each machine, and under which constraints. In order to deal with the complexity of this emerging web, we present a language that can describe networks of Social Machines, named SMADL - the Social Machine Architecture Description Language. In few words, SMADL is as a relationship-driven language which can be used to describe the interactions between any number of machines in a multitude of ways, as a means to represent real machines interacting in the real web, such as, Twitter running on top of Amazon AWS or mash-ups built upon Google Maps, and obviously, as a means to represent interactions with other social machines too.

Anbieter: Dodax
Stand: 22.01.2020
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Big Data Analytics and Knowledge Discovery
74,33 € *
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This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design, cloud and NoSQL databases, advanced programming paradigms, non-functional requirements satisfaction, machine learning, social media and twitter analysis, sentiment analysis and user influence, knowledge discovery, and data flow management and optimization.

Anbieter: Dodax AT
Stand: 22.01.2020
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Big Data Analytics and Knowledge Discovery
74,33 € *
ggf. zzgl. Versand

This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design, cloud and NoSQL databases, advanced programming paradigms, non-functional requirements satisfaction, machine learning, social media and twitter analysis, sentiment analysis and user influence, knowledge discovery, and data flow management and optimization.

Anbieter: Dodax
Stand: 22.01.2020
Zum Angebot