Sökning: "textutvinning"

Visar resultat 1 - 5 av 8 uppsatser innehållade ordet textutvinning.

1. 1. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Luciano Zapata; [2023]
   Nyckelord :Text classification; Short texts; Deep Learning; BERT; GPT; GPT-2; Transformers; Natural Language Processing; Textklassificering; Korta Texter; Djupinlärning; BERT; GPT; GPT-2; Transformatorer; Naturlig språkbehandling;

   Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER

3. 2. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms

   Kandidat-uppsats,

   Författare :Rahmat Rohoullah; Månsson Joakim; [2023]
   Nyckelord :BRISK; YOLO; Reinforcement learning; Evolutionary algorithm; OCR; Image pre-processing; Computer vision; BRISK; YOLO; Förstärkningslärning; Evolutionär algorithm; OCR; Bildförbehandling; Datorseende;

   Sammanfattning : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. LÄS MER

4. 3. Computer Vision for Document Image Analysis and Text Extraction

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Omar Benchekroun; [2022]
   Nyckelord :Optical Character Recognition; Document Analysis; Text Extraction; Transformers; Convolutional Neural Networks; Optisk teckenigenkänning; dokumentanalys; textutvinning; transformatorer; konvolutionella neurala nätverk;

   Sammanfattning : Automatic document processing has been a subject of interest in the industry for the past few years, especially with the recent technological advances in Machine Learning and Computer Vision. This project investigates in-depth a major component used in Document Image Processing known as Optical Character Recognition (OCR). LÄS MER

5. 4. Impacts of peer-to-peer rental accommodation in Stockholm, Barcelona and Rio de Janeiro : An exploratory analysis of Airbnb’s data

   Master-uppsats, KTH/Maskinkonstruktion (Inst.)

   Författare :Irene Suárez Pacios; [2020]
   Nyckelord :Airbnb; peer-to-peer economy; shared economy; exploratory analysis; text mining; Airbnb; peer-to-peer-ekonomi; delad ekonomi; undersökande analys; textutvinning;

   Sammanfattning : As a part of the growing movement called the “peer-to-peer” economy, Airbnb has changed the short-stay rental market and has become one of the world’s largest booking websites for finding an accommodation to stay. The platform has also affected the economy of tourism around the world, so, given the importance of the subject, in this thesis study, the impacts that the Airbnb rental accommodation model has on clients of Stockholm, Barcelona and Rio de Janeiro is studied. LÄS MER

7. 5. Deep Text Mining of Instagram Data Without Strong Supervision

   Master-uppsats, KTH/Programvaruteknik och datorsystem, SCS

   Författare :Kim Hammar; [2018]
   Nyckelord :Natural Language Processing; Information Extraction; Machine Learning; Språkteknologi; Informationsextraktion; Maskinlärning;

   Sammanfattning : With the advent of social media, our online feeds increasingly consist of short, informal, and unstructured text. This data can be analyzed for the purpose of improving user recommendations and detecting trends. LÄS MER