Sökning: "sentiment score"

Visar resultat 21 - 25 av 35 uppsatser innehållade orden sentiment score.

  1. 21. Predicting average response sentiments to mass sent emails using RNN

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

    Författare :Adel Bavey; [2021]
    Nyckelord :Sentiment Analysis; Sentiment Forecasting; Natural Language Processing; Machine Learning; Recurrent Neural Nets; E-mails; Sentiment Analys; Sentiment Förutsägning; Naturlig Språkbehandling; Maskininlärning; Recurrenta Neurala nät; E-mails;

    Sammanfattning : This study is concerned with using the popular Recurrent Neural Network (RNN) model, and its variants Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM), on the novel problem of Sentiment Forecasting (SF). The goal of SF is to predict what the sentiment of a response will be in a conversation, using only the previous utterance. LÄS MER

  3. 22. Altmetrics, Twitter, and Engagement : A Content Analysis Study of Tweets to Humanities Articles

    Master-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

    Författare :Ramana Fragola; [2021]
    Nyckelord :altmetrics; Twitter; impact; engagement; research dissemination; research evaluation; qualitative content analysis; humanities;

    Sammanfattning : Altmetrics is a new bibliometric subfield that uses data from online platforms and social and mainstream media to track attention to and impact of scholarly content. Qualitative research is needed to increase knowledge of altmetrics and of what they may indicate about scholarly publications’ impact and influence. LÄS MER

  4. 23. Prerequisites for Extracting Entity Relations from Swedish Texts

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

    Författare :Erik Lenas; [2020]
    Nyckelord :Machine Learning; Natural Language Processing; Relation Extraction; Named Entity Recognition; Coreference resolution; BERT; Maskininlärning; Natural Language Processing; Relationsextrahering; Named Entity Recognition; Coreference resolution; BERT;

    Sammanfattning : Natural language processing (NLP) is a vibrant area of research with many practical applications today like sentiment analyses, text labeling, questioning an- swering, machine translation and automatic text summarizing. At the moment, research is mainly focused on the English language, although many other lan- guages are trying to catch up. LÄS MER

  5. 24. Preprocessing method comparison and model tuning for natural language data

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Peter Tempfli; [2020]
    Nyckelord :Natural language processing; sentiment analysis; machine learning;

    Sammanfattning : Twitter and other microblogging services are a valuable source for almost real-time marketing, public opinion and brand-related consumer information mining. As such, collection and analysis of user-generated natural language content is in the focus of research regarding automated sentiment analysis. LÄS MER

  7. 25. Sentiment Analysis for Tweets in Swedish : Using a sentiment lexicon with syntactic rules

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Marcus Gustafsson; [2020]
    Nyckelord :Sentiment Analysis; Opinion Mining; Sentiment Lexicon; Swedish;

    Sammanfattning : Sentiment Analysis refers to the extraction of opinion and emotion from data. In its simplest form, an application estimates a sentence and labels it with a positive or negative sentiment score. One way of doing this is through a lexicon of sentiment-laden words, each annotated with its respective polarity. LÄS MER