Conference Rating

α
Ankur Gupta
Ankur Gupta
α Maharshi Dayanand University

Send Message

To: Author

Conference Rating

Article Fingerprint

ReserarchID

CSTNWS2LA62

Conference Rating Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Abstract

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.

How to Cite 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): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Version of record

v1.2

Issue date

March 29, 2014

Language
en
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 9011
Total Downloads: 2311
2026 Trends
Related Research

Published Article

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.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Conference Rating

Ankur Gupta
Ankur Gupta

Research Journals