Search for dissertations about: "sentiment analysis"

Showing result 1 - 5 of 14 swedish dissertations containing the words sentiment analysis.

  1. 1. Sentiment and Stance Visualization of Textual Data for Social Media

    Author : Kostiantyn Kucher; Andreas Kerren; Carita Paradis; Magnus Sahlgren; Ross Maciejewski; Linnéuniversitetet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; stance visualization; sentiment visualization; text visualization; stance analysis; sentiment analysis; opinion mining; visualization; interaction; visual analytics; NLP; text mining; text analytics; social media; Informations- och programvisualisering; Information and software visualization;

    Abstract : Rapid progress in digital technologies has transformed the world in many ways during the past few decades, in particular, with the new means of communication such as social media. Social media platforms typically rely on textual data produced or shared by the users in multiple timestamped posts. READ MORE

  2. 2. Essays on Information Transmission and Crisis Spillover in the Financial Markets

    Author : Dinh-Vinh Vo; Nationalekonomiska institutionen; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Central bank communication; ECB; exchange rates; sentiment; LDA; textual analysis; cross-section of stock returns; news-implied volatility; financial contagion; interdependence; global banking system;

    Abstract : This doctoral dissertation comprises three independent essays on information transmission and crisis spillover in the financial markets. The research questions are examined in the context of the foreign exchange market, the stock market and the global banking system. READ MORE

  3. 3. Who benefits when IKEA enters local markets in Sweden? : An empirical assessment using difference-in-difference analysis, synthetic control methods, and Twitter sentiment analysis

    Author : Yujiao Li; Mark Dougherty; Hasan Fleyeh; Moudud Alam; Oana Mihaescu; Per Johansson; Högskolan Dalarna; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; big-box entry effect; spatial spill-over effect; heterogeneous causal effect; difference-in-difference; synthetic control method; sentiment analysis.; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Abstract : Policy makers often spend considerable amounts of money to attract IKEA to their region despite not having any empirical measurements on its expected contribution to the local economy. As such, an empirical study of the economic and social impact of new IKEA stores can aid political decision making, and contribute to the literature regarding how big-box retail entry affects the regions where they enter. READ MORE

  4. 4. My people right or wrong? : a comparative analysis of national sentiments and their meaning

    Author : Mikael Hjerm; Umeå universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; national sentiment; national identity; nationalism; attitudes; multiculturalism; nation; xenophobia; comparative research;

    Abstract : In a world of presumed nation-states, nation has been, and still is, an intrinsic part of political legitimization and identity formation. Thus, it is clear that the understanding of nationality and people's relationship too it is of great importance for our understanding of how a stable society, partly built on nationality, can prevail in a world of migration consisting of individuals with diverging moral, religious and cultural conceptions. READ MORE

  5. 5. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision

    Author : Oscar Täckström; Joakim Nivre; Jussi Karlgren; Ryan McDonald; Hal Daumé III; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; linguistic structure prediction; structured prediction; latent-variable model; semi-supervised learning; multilingual learning; cross-lingual learning; indirect supervision; partial supervision; ambiguous supervision; part-of-speech tagging; dependency parsing; named-entity recognition; sentiment analysis; Computational Linguistics; Datorlingvistik;

    Abstract : Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. READ MORE