- Automated Phrase and Sentence Mining to Develop Graph Stories
- Project Year:
2019
- REU Student (s):
Kevin Carman | Elizabethtown College PA
- Student 1 Institution:
Elizabethtown College
- Project Mentor:
James Abello
- Project Mentor Area:
Computer Science
- Project Abstract:
Graphs are everywhere and are growing increasingly compact with data. Understanding the data found within requires a summarization process to dwindle the information down to a human digestible amount. When summarizing text, translating how humans build connections and realize the semantic meaning of phrases to a computer is far from trivial. Some methods involve computing scores for each word based on how often they occur in a given text and computing word vectors to determine similarity between words. However, none of these processes by themselves work well to accurately summarize text. The result of my process shows that combining techniques can produce promising summarized representations of information. These results demonstrate the potential that finding the perfect combination of techniques has. I anticipate my process to be a starting point for more sophisticated combinations of methods to develop.
