Cite this DOI
10.46243/jstj.2017.v2.i4.216 · A Novel Method for Actual Facts Discovering of Congestion from Twitter Flow Study
APA (7th edition)
Durga Bhavani Devika Rani, Y. S. J. V., & Babu, D. (2017). A Novel Method for Actual Facts Discovering of Congestion from Twitter Flow Study. *Journal of Science & Technology*, *02*(04), 59–64. https://doi.org/10.46243/jstj.2017.v2.i4.216
⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.
BibTeX
@article{durgabhavanidevikarani2017novel,
author = {Durga Bhavani Devika Rani, Yalla S J V and Babu, D.Satti},
title = {{A Novel Method for Actual Facts Discovering of Congestion from Twitter Flow Study}},
journal = {Journal of Science \& Technology},
year = {2017},
month = {jul},
volume = {02},
number = {04},
pages = {59--64},
publisher = {Longman Publishers},
issn = {2456-5660},
doi = {10.46243/jstj.2017.v2.i4.216},
url = {https://doi.org/10.46243/jstj.2017.v2.i4.216},
language = {en},
abstract = {Now days, social networking is additional standard. For instance, twitter, Face book etc. Social networking is employedfor event detection in real time. Real time events are traffic detection, earthquake observance. During this paper, we tend to use the twitter for real time traffic event detection. Firstly, the system extracts the tweets from twitter and applies the textmining techniques on it tweets. Those techniques square measure tokenization, stop-word removing, is stemming. At the moment classify that on the idea of sophistication label i.e. traffic event or no traffic event. During this paper, we present an internet technique for detection of real-traffic events in Twitter information.}
}RIS (EndNote, Zotero, Mendeley)
TY - JOUR TI - A Novel Method for Actual Facts Discovering of Congestion from Twitter Flow Study AU - Durga Bhavani Devika Rani, Yalla S J V AU - Babu, D.Satti JO - Journal of Science & Technology PY - 2017 DA - 2017/07/19/ VL - 02 IS - 04 SP - 59 EP - 64 PB - Longman Publishers SN - 2456-5660 LA - en AB - Now days, social networking is additional standard. For instance, twitter, Face book etc. Social networking is employedfor event detection in real time. Real time events are traffic detection, earthquake observance. During this paper, we tend to use the twitter for real time traffic event detection. Firstly, the system extracts the tweets from twitter and applies the textmining techniques on it tweets. Those techniques square measure tokenization, stop-word removing, is stemming. At the moment classify that on the idea of sophistication label i.e. traffic event or no traffic event. During this paper, we present an internet technique for detection of real-traffic events in Twitter information. DO - 10.46243/jstj.2017.v2.i4.216 UR - https://doi.org/10.46243/jstj.2017.v2.i4.216 ER -
CSL-JSON
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} ⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.
From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjstj.2017.v2.i4.216 gives all four in one JSON answer.
