Shiferaw, M. M., & Sathyanarayanan, S., & Jajistar, R. (2017, April), Sentiment Analysis  Paper presented at 2017 ASEE Mid Atlantic Section Spring Conference, Morgan State University, Baltimore, Maryland. 10.18260/1-2--29265

\bibitem{asee_peer_29265}
  Shiferaw, M. M., \& Sathyanarayanan, S., \& Jajistar, R. (2017, April), \emph{Sentiment Analysis}
  Paper presented at 2017 ASEE Mid Atlantic Section Spring Conference, Morgan State University, Baltimore, Maryland.
  10.18260/1-2--29265

Michael  Mehari Shiferaw, Sagar Sathyanarayanan, and Ravin Jajistar.  "Sentiment Analysis".  2017 ASEE Mid Atlantic Section Spring Conference, Morgan State University, Baltimore, Maryland, 2017, April.  ASEE Conferences, 2017.  https://peer.asee.org/29265 Internet.  21 Dec, 2024

\bibitem{asee_peer_29265}
  Michael  Mehari Shiferaw, Sagar Sathyanarayanan, and Ravin Jajistar.
  "Sentiment Analysis".
  \emph{2017 ASEE Mid Atlantic Section Spring Conference, Morgan State University, Baltimore, Maryland, 2017, April}.
  ASEE Conferences, 2017.
  https://peer.asee.org/29265 Internet.  21 Dec, 2024

@INPROCEEDINGS{asee_peer_29265
author = "Michael  Mehari Shiferaw, Sagar Sathyanarayanan, and Ravin Jajistar"
title = "Sentiment Analysis"
booktitle = "2017 ASEE Mid Atlantic Section Spring Conference"
year = "2017"
month = "April"
address = "Morgan State University, Baltimore, Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/29265}
number = {10.18260/1-2--29265}
}

TY  - CPAPER
AB  - Project Members                         
 • Ravin Jajistar                            
 • Sagar Sathynarayanan              
 • Michael Shiferaw                                   

Sentiment Analysis: JSS Soultions LLC

Sentiment Analysis, is a computer program that assesses data from user experience, and categorizes them as positive, neutral, and negative in order to improve a service or product. In this project, individuals will develop a program that will grab tweets from twitter feeds, and run these tweets against a dictionary and categorize the tweet as positive, negative, and neutral. The program will then generate a report of the feedback, and if properly analyzed and assessed correctly, companies will be able to improve on their services, or products. Part of the project is establishing a small consultant business, mainly a LLC under the name JSS Solutions LLC and then going out and signing clients in order for us to help provide to improve their service or product. The product will be first tested among the Morgan state community on the safety around campus, hence contributing towards the community. 
AU  - Michael  Mehari Shiferaw
AU  - Sagar Sathyanarayanan
AU  - Ravin Jajistar
CY  - Morgan State University, Baltimore, Maryland
DA  - 2017/04/07
PB  - ASEE Conferences
TI  - Sentiment Analysis
UR  - https://peer.asee.org/29265
DO  - 10.18260/1-2--29265
ER  -