Essays about: "computational linguistics"

Showing result 6 - 10 of 28 essays containing the words computational linguistics.

1. 6. Chaos or Clarity: A Corpus-Assisted Analysis of Top Comments on Jordan Peterson's Controversial YouTube Videos

   University essay from Linnéuniversitetet/Institutionen för språk (SPR)

   Author : Behnam Baharmand; [2023]
   Keywords : Sentiment analysis; youtube; comment; computational linguistics; thematic analysis; social media;

   Abstract : This thesis endeavors to make sense of how Jordan Peterson, a highly controversial public figure—who is rapidly becoming academia’s equivalent to a rock star—is perceived by his online audience. To that end, the study adopts an analytical approach while integrating several theoretical frameworks, including the concept of echo chambers. READ MORE

3. 7. Can algorithms translate the world? : A digital discourse analysis of Google Translate’s algorithmic agency in the translation of news reports

   University essay from Stockholms universitet/Centrum för tvåspråkighetsforskning

   Author : Luana Candido Fleury; [2022]
   Keywords : Algorithmic agency; translation; bilingualism; Google Translate; U.S. Capitol; critical discourse analysis; recontextualization; appraisal; ideology; Global South.;

   Abstract : Google Translate’s mission is “to enable everyone, everywhere, to understand the world and express themselves across languages” (Pitman, 2021). But are algorithms capable of leading us beyond the translation of the word toward an understanding of the world? Computational linguistics research has been interested in assessing this kind of real-world effects of technology and invited other disciplines to join their effort. READ MORE

4. 8. Multi-Class Emotion Classification for Interactive Presentations : A case study on how emotional sentiment analysis can help end users better convey intended emotion

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Charlotte Andersson; [2022]
   Keywords : Interactive Presentations; Audience Engagement Platform; Emotion Prediction; Natural Language Processing; Text Classification; Sentiment Analysis; BERT; Case Study; Interaktiva Presenationer; Publikengagemangsplattform; Förutsägelse av Känslor; Natural Language Processing; Textklassificering; Attitydanalys; BERT; Fallstudie;

   Abstract : Mentimeter is one of the fastest-growing startups in Sweden. They are an audience engagement platform that allows users to create interactive presentations and engage an audience. As online information spreads increasingly faster, methods of analyzing, understanding, and categorizing information are developing and improving rapidly. READ MORE

5. 9. Miljöpartiet and the never-ending nuclear energy debate : A computational rhetorical analysis of Swedish climate policy

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Claire Dickerson; [2022]
   Keywords : Computational linguistics; language technology; natural language processing; NLP; computational rhetoric; topic modeling; semantic textual similarity; STS; political party attribution; SBERT; KB-BERT; machine learning; climate policy; Swedish climate policy;

   Abstract : The domain of rhetoric has changed dramatically since its inception as the art of persuasion. It has adapted to encompass many forms of digital media, including, for example, data visualization and coding as a form of literature, but the approach has frequently been that of an outsider looking in. READ MORE

6. 10. Homograph Disambiguation and Diacritization for Arabic Text-to-Speech Using Neural Networks

   University essay from Uppsala universitet/Institutionen för lingvistik och filologi

   Author : Harm Lameris; [2021]
   Keywords : Computational Linguistics; Language Technology; Diacritization; Neural Networks; Deep Learning; Arabic; Natural Language Processing; NLP; Text-to-Speech; TTS; Homograph Disambiguation;

   Abstract : Pre-processing Arabic text for Text-to-Speech (TTS) systems poses major challenges, as Arabic omits short vowels in writing. This omission leads to a large number of homographs, and means that Arabic text needs to be diacritized to disambiguate these homographs, in order to be matched up with the intended pronunciation. READ MORE