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Ankur Gupta
Ankur Gupta
1 Maharshi Dayanand University, Rohtak.

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GJCST Volume 14 Issue E1

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Rate is a website designed to gather tweets regarding various conferences occurring around the corners of world and applying an algorithm to rate them on the sentimental analysis of tweets. When we talk of technolog stack implementation, Conf Rate uses Twython; a python based twitter API which connects to twitter on oauth (open authentication) and offers functionality like twitter search. The technique is to use the real time data from the twitter; commonly known as “tweets”. This information is categorized into positive or negative on the basis of the “tweet sentiments”. The Natural Language Toolkit (NLTK) is a powerful tool in Python which identifies tweet sentiments using Bayes classifier. The use of Django 1.3.1 web framework (a python framework) provides a lightweight web server with MVC framework which easily integrates with our python scripts. For designing user interface, html5 using jquery has been used. Finally, the application is deployed on the cloud using AWS (Amazon web services) Elastic Cloud Computer or commonly known as EC2, providing more profitability and reliable browsing and dependability from market perspective.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Ankur Gupta. 2014. \u201cConference Rating\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

Issue date

March 29, 2014

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English

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Rate is a website designed to gather tweets regarding various conferences occurring around the corners of world and applying an algorithm to rate them on the sentimental analysis of tweets. When we talk of technolog stack implementation, Conf Rate uses Twython; a python based twitter API which connects to twitter on oauth (open authentication) and offers functionality like twitter search. The technique is to use the real time data from the twitter; commonly known as “tweets”. This information is categorized into positive or negative on the basis of the “tweet sentiments”. The Natural Language Toolkit (NLTK) is a powerful tool in Python which identifies tweet sentiments using Bayes classifier. The use of Django 1.3.1 web framework (a python framework) provides a lightweight web server with MVC framework which easily integrates with our python scripts. For designing user interface, html5 using jquery has been used. Finally, the application is deployed on the cloud using AWS (Amazon web services) Elastic Cloud Computer or commonly known as EC2, providing more profitability and reliable browsing and dependability from market perspective.

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