Bhaduri, S., & Roy, T. (2017, June), Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements   Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28102

\bibitem{asee_peer_28102}
  Bhaduri, S., \& Roy, T. (2017, June), \emph{Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements }
  Paper presented at 2017 ASEE Annual Conference \& Exposition, Columbus, Ohio.
  10.18260/1-2--28102

Sreyoshi Bhaduri and Tamoghna Roy.  "Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements ".  2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017, June.  ASEE Conferences, 2017.  https://peer.asee.org/28102 Internet.  14 Sep, 2024

\bibitem{asee_peer_28102}
  Sreyoshi Bhaduri and Tamoghna Roy.
  "Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements ".
  \emph{2017 ASEE Annual Conference \& Exposition, Columbus, Ohio, 2017, June}.
  ASEE Conferences, 2017.
  https://peer.asee.org/28102 Internet.  14 Sep, 2024

@INPROCEEDINGS{asee_peer_28102
author = "Sreyoshi Bhaduri and Tamoghna Roy"
title = "Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements "
booktitle = "2017 ASEE Annual Conference \& Exposition"
year = "2017"
month = "June"
address = "Columbus, Ohio"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/28102}
number = {10.18260/1-2--28102}
}

TY  - CPAPER
AB  - Most higher education institutions have a mission and/or vision statement that is designed to communicate with a variety of audiences. These statements are developed strategically by organizations and often reflect the college’s unique vision which sets it apart from peer institutions. Analytical techniques which rely on word usage, semantic information, and metadata information can be used to generate powerful descriptive models with allow us to obtain relevant information from text-based data. This work-in-progress study presents a Natural Language Processing based textual data analytical approach to study the mission and vision statements with the purpose of understanding the key similarities and differences between the choice of words used in them. We analyzed a total of 59 engineering colleges: 29 public, and 30 private, across the United States. Results of this study indicate that there is indeed a difference in word frequencies for public versus private engineering colleges. The contribution of this research is in the form of charts quantitatively summarizing the comparative word usage and a descriptive overview of the complete vocabulary of pertinent words from the statements analyzed. Topical clustering based on words seen in prior literature was also conducted to analyze comparative categories across the institutions. This study can help inform strategies on the formation of mission and vision statements for universities by allowing administrators insight into vocabulary used across colleges. 
AU  - Sreyoshi Bhaduri
AU  - Tamoghna Roy
CY  - Columbus, Ohio
DA  - 2017/06/24
PB  - ASEE Conferences
TI  - Demonstrating Use of Natural Language Processing to Compare  College of Engineering Mission Statements 
UR  - https://peer.asee.org/28102
DO  - 10.18260/1-2--28102
ER  -