Basic paraphrasing tool and text customization using NLTK

Type: Research and Development

Academic year: 2018 - 2019

In this project, a baisc tool for text summarization and sentence-by-sentence pharaphrasing was implemented, using Python programming language and NLTK toolkit. A text description is given by a user as a an input file via GUI. The input file format can either be .doc or .txt format. The synoyms provided by WordNet in NLTK were used to replace necessary words for each sentence in the input text.