  In recent times, data is growing rapidly in every domain such as news, social
media, banking, education, etc. Due to the excessiveness of data, there is a
need of automatic summarizer which will be capable to summarize the data
especially textual data in original document without losing any critical
purposes. Text summarization is emerged as an important research area in recent
past. In this regard, review of existing work on text summarization process is
useful for carrying out further research. In this paper, recent literature on
automatic keyword extraction and text summarization are presented since text
summarization process is highly depend on keyword extraction. This literature
includes the discussion about different methodology used for keyword extraction
and text summarization. It also discusses about different databases used for
text summarization in several domains along with evaluation matrices. Finally,
it discusses briefly about issues and research challenges faced by researchers
along with future direction.
