Sökning: "cross-domain sentiment classification"

Hittade 5 uppsatser innehållade orden cross-domain sentiment classification.

  1. 1. Text Classification of Human Resources-related Data with Machine Learning

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

    Författare :Christine Rosquist; [2021]
    Nyckelord :;

    Sammanfattning : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. LÄS MER

  3. 2. All Negative on the Western Front: Analyzing the Sentiment of the Russian News Coverage of Sweden with Generic and Domain-Specific Multinomial Naive Bayes and Support Vector Machines Classifiers

    Kandidat-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :David Michel; [2021]
    Nyckelord :sentiment analysis; news sentiment; text classification; cross-domain sentiment classification; domain specificity; domain-transfer problem; transfer learning; knowledge transfer; support vector machines; SVM; multinomial naive Bayes; Sweden; Aurora 17; Russia; Russian news; RT; Sputnik; cyberwarfare; influence campaign; disinformation; fake news; propaganda;

    Sammanfattning : This thesis explores to what extent Multinomial Naive Bayes (MNB) and Support Vector Machines (SVM) classifiers can be used to determine the polarity of news, specifically the news coverage of Sweden by the Russian state-funded news outlets RT and Sputnik. Three experiments are conducted. LÄS MER

  4. 3. Sentiment analysis of Swedish reviews and transfer learning using Convolutional Neural Networks

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

    Författare :Johan Sundström; [2018]
    Nyckelord :Sentiment analysis; transfer learning; domain adaption; convolutional neural networks; cnn; machine learning; word2vec;

    Sammanfattning : Sentiment analysis is a field within machine learning that focus on determine the contextual polarity of subjective information. It is a technique that can be used to analyze the "voice of the customer" and has been applied with success for the English language for opinionated information such as customer reviews, political opinions and social media data. LÄS MER

  5. 4. Sentiment analysis of Swedish social media : Using random indexing to improve cross-domain sentiment classification

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :TOMAS LYSEDAL; [2014]
    Nyckelord :;

    Sammanfattning : Social media has grown extremely fast in recent years andin the vast number of posts being made everyday people expresstheir opinions about all kinds of topics. These opinionsare very valuable and there is a need for a way toautomatically identify and extract them. LÄS MER

  7. 5. Sentiment analysis of Swedish social media : Using random indexing to improve cross-domain sentiment classification

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :TOMAS LYSEDAL; [2014]
    Nyckelord :;

    Sammanfattning :  Social media has grown extremely fast in recent years and in the vast number of posts being made everyday people express their opinions about all kinds of topics. These opinions are very valuable and there is a need for a way to automatically identify and extract them. LÄS MER