Sökning: "natural language"

Visar resultat 1 - 5 av 428 uppsatser innehållade orden natural language.

  1. 1. Sentiment classification of Swedish Twitter data

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

    Författare :Niklas Palm; [2019]
    Nyckelord :;

    Sammanfattning : Sentiment analysis is a field within the area of natural language processing that studies the sentiment of human written text. Within sentiment analysis, sentiment classification is a research area that has been of growing interest since the advent of digital social-media platforms, concerned with the classification of the subjective information in text data. LÄS MER

  2. 2. Object Detection in Object Tracking System for Mobile Robot Application

    Master-uppsats, KTH/Matematisk statistik

    Författare :Alessandro Foa'; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. LÄS MER

  3. 3. Emotion Classification with Natural Language Processing (Comparing BERT and Bi-Directional LSTM models for use with Twitter conversations)

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Nathaniel Joselson; Rasmus Hallén; [2019]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : We have constructed a novel neural network architecture called CWE-LSTM (concatenated word-emoji bidirectional long short-term memory) for classify- ing emotions in Twitter conversations. The architecture is based on a combina- tion of word and emoji embeddings with domain specificity in Twitter data. LÄS MER

  4. 4. Automatic text summarization of Swedish news articles

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Författare :Niko Lehto; Mikael Sjödin; [2019]
    Nyckelord :Automatic text summarization; Language technology; Summary evaluation; Natural language processing;

    Sammanfattning : With an increasing amount of textual information available there is also an increased need to make this information more accessible. Our paper describes a modified TextRank model and investigates the different methods available to use automatic text summarization as a means for summary creation of swedish news articles. LÄS MER

  5. 5. Word2vec2syn : Synonymidentifiering med Word2vec

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Tove Pettersson; [2019]
    Nyckelord :Word2vec; synonym identification; vector space model; word vectors; cosine similarity; Word2vec; synonymidentifiering; vektorrymdsmodell; ordvektorer; cosinuslikhet;

    Sammanfattning : Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som skapat ett verktyg, Termograph, ämnad att samla termer inom företag och hålla den interna språkanvändningen konsekvent. LÄS MER