Sökning: "doc2vec"

Visar resultat 1 - 5 av 6 uppsatser innehållade ordet doc2vec.

  1. 1. Evaluation of text classification techniques for log file classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Per Olin; [2020]
    Nyckelord :Text classification; machine learning; NLP; natural language processing; log file; doc2vec; CNN; LSTM; LSTM-CNN;

    Sammanfattning : 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. LÄS MER

  2. 2. A Comparison between Different Recommender System Approaches for a Book and an Author Recommender System

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system; Linköpings universitet/Interaktiva och kognitiva system

    Författare :Jesper Hedlund; Emma Nilsson Tengstrand; [2020]
    Nyckelord :Recommender System; Collaborative Filter; Matrix Factorization; Content-based Filter; Doc2Vec;

    Sammanfattning : 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. LÄS MER

  3. 3. Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Pontus Svensson; [2020]
    Nyckelord :nlp; natural; language; processing; computer; vision; image; classification; news; articles; suggestions; retrieval; Word2vec; Doc2vec;

    Sammanfattning : Multimodal machine learning is a subfield of machine learning that aims to relate data from different modalities, such as texts and images. One of the many applications that could be built upon this technique is an image retrieval system that, given a text query, retrieves suitable images from a database. LÄS MER

  4. 4. Video Recommendation Based on Object Detection

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Selma Nyberg; [2018]
    Nyckelord :Spotify; Machine Learning; Artificial Intelligence; Recommender Systems; Content-Based Filtering; Collaborative Filtering; Hybrid Filtering; Deep Learning; Image Recognition; Object Detection; Natural Language Processing; Paragraph Vectors; Doc2Vec; TensorFlow; Classification; K-Nearest Neighbors; Cross-Validation;

    Sammanfattning : In this thesis, various machine learning domains have been combined in order to build a video recommender system that is based on object detection. The work combines two extensively studied research fields, recommender systems and computer vision, that also are rapidly growing and popular techniques on commercial markets. LÄS MER

  5. 5. Cluster Analysis with Meaning : Detecting Texts that Convey the Same Message

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Fredrik Öhrström; [2018]
    Nyckelord :nlp; text mining; clustering; semantic meaning; text clustering; semantic duplicates; simplified technical english; duplicate detection; dbcv; doc2vec; etteplan;

    Sammanfattning : Textual duplicates can be hard to detect as they differ in words but have similar semantic meaning. At Etteplan, a technical documentation company, they have many writers that accidentally re-write existing instructions explaining procedures. These "duplicates" clutter the database. This is not desired because it is duplicate work. LÄS MER