Essays about: "extractive text summarization"
Showing result 1 - 5 of 14 essays containing the words extractive text summarization.
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1. A comparative study of automatic text summarization using human evaluation and automatic measures
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Automatic text summarization has emerged as a promising solution to manage the vast amount of information available on the internet, enabling a wider audience to access it. Nevertheless, further development and experimentation with different approaches are still needed. READ MORE
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2. Evaluating Text Summarization Models on Resumes : Investigating the Quality of Generated Resume Summaries and their Suitability as Resume Introductions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis aims to evaluate different abstractive text summarization models and techniques for summarizing resumes. It has two main objectives: investigate the models’ performance on resume summarization and assess the suitability of the generated summaries as resume introductions. READ MORE
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3. Towards the creation of a Clinical Summarizer
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : While Electronic Medical Records provide extensive information about patients, the vast amounts of data cause issues in attempts to quickly retrieve valuable information needed to make accurate assumptions and decisions directly concerned with patients’ health. This search process is naturally time-consuming and forces health professionals to focus on a labor intensive task that diverts their attention from the main task of applying their knowledge to save lives. READ MORE
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4. Methods for increasing cohesion in automatically extracted summaries of Swedish news articles : Using and extending multilingual sentence transformers in the data-processing stage of training BERT models for extractive text summarization
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Developments in deep learning and machine learning overall has created a plethora of opportunities for easier training of automatic text summarization (ATS) models for producing summaries with higher quality. ATS can be split into extractive and abstractive tasks; extractive models extract sentences from the original text to create summaries. READ MORE
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5. Summarization and keyword extraction on customer feedback data : Comparing different unsupervised methods for extracting trends and insight from text
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Polestar has during the last couple of months more than doubled its amount of customer feedback, and the forecast for the future is that this amount will increase even more. Manually reading this feedback is expensive and time-consuming, and for this reason there's a need to automatically analyse the customer feedback. READ MORE