TEXT RETRIEVAL USING WAVELET TREE

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Abstract:

Text retrieval is a fundamental task in information retrieval systems, aiming to efficiently retrieve relevant documents or passages given a user’s query. Traditional text retrieval techniques often rely on inverted indices or other data structures to facilitate fast searching. However, these methods may suffer from space inefficiency and suboptimal time complexity.

In recent years, the wavelet tree has emerged as a promising data structure for text retrieval tasks. The wavelet tree is a compact representation of a text corpus that allows for efficient querying and retrieval operations. It leverages the properties of wavelet transforms to achieve space-efficient indexing while maintaining fast search capabilities.

This abstract presents an overview of text retrieval using the wavelet tree data structure. We discuss the construction of the wavelet tree from a text corpus and the encoding of textual information within the tree. We then explore the retrieval process, which involves traversing the wavelet tree to locate relevant documents or passages based on a user’s query.

We highlight the advantages of using the wavelet tree for text retrieval, including its compact representation, low space overhead, and fast search times. Furthermore, we discuss various extensions and optimizations that can enhance the performance of the wavelet tree-based retrieval system, such as incorporating compression techniques or integrating relevance ranking algorithms.

To evaluate the effectiveness of wavelet tree-based text retrieval, we compare its performance against traditional retrieval methods, such as inverted indices. We analyze metrics such as search time, space consumption, and retrieval accuracy to assess the strengths and limitations of the wavelet tree approach.

In conclusion, te wavelet treesxt retrieval using the wavelet tree data structure offers a promising avenue for efficient and effective information retrieval. By leveraging wavelet transforms and compact representations, the wavelet tree enables fast and space-efficient search operations. This abstract serves as a starting point for further research and exploration into the application of in text retrieval systems.

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