TextSummarization-MMR

MMR (Maximum Marginal Relevance) is an extractive summarization that was introduced by Jaime Carbonell and Jade Goldstein. http://repository.cmu.edu/cgi/viewcontent.cgi?article=1330&context=compsci

MMR aims to obtain the most relevance sentences by scoring whole sentences in the document. The MMR criterion strives to reduce redudancy while maintaining the content relevance in re-ranking retireved sentences

Dependency

• This code is implemented in Python
• Since I built it for Bahasa Indonesia, I use Sastrawi libary for stemming pip install Sastrawi
• The list of stopwords is in Bahasa Indonesia (as provided in this folder)
• It also use "sklearn libarary". Please install it by pip install sklearn
• And this one pip install termcolor

How to run

• In you terminal type it as python mmr.py [Document.txt]

Output