Due to the considerable growth of the volume of text documents on the Internet and in digital
libraries, manual analysis of these documents is no longer feasible. Having efficient …

In this paper we present a survey of various techniques available in text mining for keyword
and keyphrase extraction. Keywords and keyphrases are very useful in analyzing large …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Sažetak The paper surveys methods and approaches for the task of keyword extraction. The
systematic review of methods was gathered which resulted in a comprehensive review of …

Keyphrase prediction aims to generate phrases (keyphrases) that highly summarizes a
given document. Recently, researchers have conducted in-depth studies on this task from …

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 …

Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …

Automatic keyword extraction (AKE) is the task to identify a small set of words, key phrases,
keywords, or key segments from a document that can describe the meaning of the document …

Keyword extraction has received an increasing attention as an important research topic
which can lead to have advancements in diverse applications such as document context …

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level
summarization of a document. Majority of the existing techniques are mainly domain …