While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

This paper constitutes a systematic review of Linguistic Data Summarization theory and its
trends. Authors analyzed the advantages and limitations of different techniques to generate …

The increased demand of systems able to generate reports in natural language from
numerical data involves the search for new solutions. This paper presents an adaptation of …

Although it has become easier for individuals to track their personal health data (eg, heart
rate, step count, and nutrient intake data), there is still a wide chasm between the collection …

The paper presents an automated system to report the evolution of a process in natural
language expressions, analyzing wireless sensor data with process patterns by the linguistic …

In recent years, to increase market share, companies have preferred neuromarketing over
traditional methods for better analysis of consumer behavior. Since it easily detects …

In this paper we present a model based on computational intelligence and natural language
generation for the automatic generation of textual summaries from numerical data series …

Automatic linguistic description of the available data about complex phenomena is a
challenging task that is receiving the attention of data scientists in recent years. As an …

In highly connected world, the volume and variety of data is growing and growing. The Big
Data era opens new challenges to address. Dealing with Big Data, we have identified and …

This paper presents versatile modification of the Wu-Mendel approach for linguistic
summarisation and concentrates on eliminating the following main drawbacks of the …