This blog is a gentle introduction to text summarization and can serve as a practical summary of the current landscape. It describes how we, a team of three students in the RaRe Incubator programme, have experimented with existing algorithms and Python tools in this domain. We compare modern extractive methods like LexRank, LSA, Luhn and Gensim’s existing TextRank summarization module …
Text Summarization with Gensim
Text summarization is one of the newest and most exciting fields in NLP, allowing for developers to quickly find meaning and extract key words and phrases from documents. RaRe Technologies’ newest intern, Ólavur Mortensen, walks the user through text summarization features in Gensim.