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Title: Models for word prediction and information retrieval
Authors: Grech, Brandon
Keywords: Information storage and retrieval systems
Natural language processing (Computer science)
Neural networks (Computer science)
Issue Date: 2019
Citation: Grech, B. (2019). Models for word prediction and information retrieval (Bachelor's dissertation).
Abstract: In the past, many techniques have been explored to predict words in a sentence or extract information from textual documents based on a query. The purpose of this thesis is to compare and contrast different word-prediction models in the Natural Language Processing area of N-grams which can ultimately be used to facilitate the process of writing texts which follow a certain structure or pattern. Moreover, an Information Retrieval System will be created using the word2vec framework which can be used to obtain a pre-specified number of documents based on a given query. The application section involves applying these models on data acquired from the recruitment industry which can be split as job descriptions and CVs.
Appears in Collections:Dissertations - FacSci - 2019
Dissertations - FacSciSOR - 2019

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