Sentiment Analysis in Social Networks

Abstract

Obrigado aos os meus pais, que sempre me apoiaram financeiramente e pessoalmente e sem os quais o meu percurso académico não era possível. Obrigado às minhas orientadoras, pelo apoio, pelas críticas constructivas que sempre me deram e por fomentarem o meu espiríto crítico, que foi uma mais valia ao longo do desenvolvimento deste trabalho. Finalmente, um obrigado aos amigos e ao resto da família que sempre me apoiaram ao longo deste semestre.

Restoring reputation through digital diplomacy: the European Union’s strategic narratives on Twitter during the COVID-19 pandemic

“…These authorities include commissioners and agencies linked to foreign affairs, EU delegations and ambassadors (only if their accounts were verified by Twitter) and missions in international organizations 7 . SNA consists of a series of mathematical and computational techniques that, using network and graph theories, can be used to understand the structure and the dynamics of networks (Pozzi et al, 2017). SNA enables to identify both the communication flow and the key actors in the dissemination of information (Park et al, 2019).…”

Cloud-Based Sentiment Analysis for Measuring Customer Satisfaction in the Moroccan Banking Sector Using Na?ve Bayes and Stanford NLP

“…g) Calculating the weight of the sentiment ws in each sentence which is equal to the sentiment s multiplied by the size of the sentiment sz: ws = s . sz (1) h) In order to calculate of the weight w of the sentiment of the whole text we divide the sum of the weight of the sentiment ws of the whole sentences in the text by the size of the text st:…”

“…Sentiment analysis, or opinion mining, has obtained much attention in recent years with the advent of various social networking like Twitter which is a popular microblogging service where users gives their opinions. The aim of sentiment analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, to create a structured and actionable knowledge to be used by either a decision support system or a decision maker [1,3].…”