Hittauppsatser.se

Uppsats

Effect of polysemy and homography on sentiment analysis

Kandidat-uppsats

Ljung, Oskar

Stockholms universitet/Avdelningen för datorlingvistik

Publicerad: 2024

Språk: Engelska

Nyckelord

klicka för att söka
⌕disambiguation⌕disambiguering⌕linear regression⌕Sentiment Analysis⌕linjär regression⌕polysemy⌕Homography⌕homografi⌕polysemi⌕Sentimentanalys⌕vector space⌕homonomy⌕British National Corpus⌕SentiWordNet⌕WordNet⌕Lesk Algorithm⌕Normalised Lesk⌕vecorrymd⌕homonymi⌕Lesk-algoritmen

Sammanfattning

This bachelor's thesis studied the difference in sentiment between different homographic or polysemous senses of individual words. It did this by training a linear regression model on a version of the British National corpus that had been disambiguated along WordNet word senses (synsets) and analysing sentiment data from SentiWordNet. Results were partial, but indicated that word senses differ somewhat in sentiment. In the process of this study, a new and improved version of the Lesk disambiguation algorithm was also developed, named Nomalised Lesk. The validation of that algorithm compared to the regular Lesk algorithm is presented here as well.

Information

Författare
Ljung, Oskar
Lärosäte / institution
Stockholms universitet/Avdelningen för datorlingvistik
Publiceringsdatum
2024
Uppsatstyp
Kandidat-uppsats
Språk
Engelska
Nyckelord
⌕disambiguation⌕disambiguering⌕linear regression⌕Sentiment Analysis⌕linjär regression⌕polysemy⌕Homography⌕homografi⌕polysemi⌕Sentimentanalys⌕vector space⌕homonomy⌕British National Corpus⌕SentiWordNet⌕WordNet⌕Lesk Algorithm⌕Normalised Lesk⌕vecorrymd⌕homonymi⌕Lesk-algoritmen

Utforska vidare

Liknande uppsatser

Uppsatser med liknande ämnen och nyckelord.