Essays about: "Doc2Vec"
Showing result 1 - 5 of 13 essays containing the word Doc2Vec.
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1. Natural Language Processing for Improving Search Query Results : Applied on The Swedish Armed Force's Profession Guide
University essay from Uppsala universitet/DatalogiAbstract : Text has been the historical way of preserving and acquiring knowledge, and text data today is an increasingly growing part of the digital footprint together with the need to query this data for information. Seeking information is a constant ongoing process, and is a crucial part of many systems all around us. READ MORE
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2. Using Semi-Supervised Learning for Email Classification
University essay from KTH/Matematik (Avd.)Abstract : In this thesis, we investigate the use of self-training, a semi-supervised learning method, to improve binary classification of text documents. This means making use of unlabeled samples, since labeled samples can be expensive to generate. More specifically, we want to classify emails that are retrieved by Skandinaviska Enskilda Banken (SEB). READ MORE
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3. Object Classification using Language Models
University essay from Uppsala universitet/Signaler och systemAbstract : In today’s modern digital world more and more emails and messengers must be sent, processed and handled. The categorizing and classification of these text pieces can take an incredibly long time and will cost the company a lot of time and money. READ MORE
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4. Applying Natural Language Processing to document classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In today's digital world, we produce and use more electronic documents than ever before. And this trend is far from slowing down. Particularly, more and more companies and businesses now need to treat a considerable amount of documents to deal with their clients' requests. READ MORE
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5. Classifying and Comparing Latent Space Representation of Unstructured Log Data.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis explores and compares various methods for producing vector representation of unstructured log data. Ericsson wanted to investigate machine learning methods to analyze logs produced by their systems to reduce the cost and effort required for manual log analysis. READ MORE