Abstract Latent Semantic Indexing (LSI) has been widely used in information retrieval due to
its efficiency in solving the problems of polysemy and synonymy. However, LSI is notably a …

We propose a parallel generalization scheme for Singular Value Decomposition–based
clustering algorithms. The scheme enables the clustering algorithm to generate a hierarchy …

Web directories like Wikipedia and Open Directory Mozilla facilitate efficient information
retrieval (IR) of web documents from a huge web corpus. Maintenance of these web …

We propose a parallelization scheme for an existing algorithm for constructing a web‐
directory, that contains categories of web documents organized hierarchically. The …

Sentiment analysis is perceived to be a multi-disciplinary research domain composed of
machine learning, artificial intelligence, deep learning, image processing, and social …

Latent Semantic Indexing (LSI) is one of the popular techniques in the information retrieval
fields. Different from the traditional information retrieval techniques, LSI is not based on the …

Hierarchical Document Clustering helps in grouping similar documents and facilitates the
subsequent extraction of useful information. High dimensionality of documents and the scale …