The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Semantic similarity has attracted great concern for a long time in artificial intelligence,
psychology and cognitive science. In recent years the measures based on WordNet have …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Semantic Similarity relates to computing the similarity between conceptually similar but not
necessarily lexically similar terms. Typically, semantic similarity is computed by mapping …

Text mining refers to the discovery of previously unknown knowledge that can be found in
text collections. In recent years, the text mining field has received great attention due to the …

With the increasing adoption of cloud computing, a growing number of users outsource their
datasets into cloud. The datasets usually are encrypted before outsourcing to preserve the …

Calculating the semantic similarity between sentences is a long dealt problem in the area of
natural language processing. The semantic analysis field has a crucial role to play in the …

The massive quantity of data available today in the Internet has reached such a huge
volume that it has become humanly unfeasible to efficiently sieve useful information from it …

This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

Information Content (IC) is an important dimension of assessing the semantic similarity
between two terms or word senses in word knowledge. The conventional method of …