Essays about: "doc2vec"
Showing result 1 - 5 of 10 essays containing the word doc2vec.
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1. 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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2. 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
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3. Searching and Recommending Texts Related to Climate Change
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This project considers the design of a machine learning system to search efficiently a database of texts related to climate change. The efficient search and navigation of such a database make it easier to find actionable information, detect trends, or derives other useful information. READ MORE
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4. Evaluation of text classification techniques for log file classification
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : System log files are filled with logged events, status codes, and other messages. By analyzing the log files, the systems current state can be determined, and find out if something during its execution went wrong. READ MORE
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5. A Comparison between Different Recommender System Approaches for a Book and an Author Recommender System
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : A recommender system is a popular tool used by companies to increase customer satisfaction and to increase revenue. Collaborative filtering and content-based filtering are the two most common approaches when implementing a recommender system, where the former provides recommendations based on user behaviour, and the latter uses the characteristics of the items that are recommended. READ MORE