text summarization

an information retrieval

& Natural Language Processing project

Cler Gauthier, Houzet Julien, Lee Yeseop, Yoo Heejin, Kim Jinkwan, Kwon Won

slides.com/googo/nlp

“ Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document”

Wikipedia.com

applications

newspaper

time saving

PROJECT PLANS

• Data Retrieval

• Text Extraction

• Processing

• Tweaking

• build output

• User Interface

Data retrieval

scraping

jinkwan

Text extraction

yeseop

processing

text rank

similarity

gauthIer

tweaking

• performance

• relevant results

• analyzing data

heejin

build output

Won

user interface

pandas

nltk

numpy

opensource project

References

1. Assessing sentence scoring techniques for extractive text summarization
2. Medium: A qualitative Introduction to Automatic Text Summarization
3. Wikipedia: Automatic summarization