Brand community interactions and online customer support have become major platforms of brand sentiment strengthening and loyalty creation. Rapid brand responses to each customer request though inbound tweets in twitter and taking proper actions to cover the needs of customers are the key elements of positive brand sentiment creation and product or service initiative management in the realm of ...

Sentiment analysis is the process of analyzing a person’s perception or belief about a particular subject matter. However, finding correct opinion or interest from multi-facet sentiment data is a tedious task. In this paper, a method to improve the sentiment accuracy by utilizing the concept of categorized dictionary for sentiment classification and analysis is proposed.  A categorized dictiona...

The tourism industry has become a major contributor to the economic growth. However, because of outbreak coronavirus disease (COVID-19) pandemic, year 2020 became an extremely difficult for global industry. Since development depends largely on changes in travel sentiment, it is important analyze these light pandemic. To determine trends hybrid grey prediction model was used predict sentiment gl...

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

In a globalized world, the volume of international trade is based on both import and export prices, thereby making a country’s economy highly dependent on exchange rates. In order to study exchange rate movements, one frequently exploits the so-called Dornbusch overshooting model. However, the model is controversial from a theoretical point of view: it presupposes the processing of information,...

Abstract We estimate the dynamic causal effects of consumer sentiment shocks in US. identify autonomous changes survey evidence on confidence using fatalities mass shootings as an instrument. find instrument to be significant for aggregate index expectations and also back up identification scheme with micro that exploits geographical variation shootings. Sentiment have real macroeconomic effect...

Investor sentiment is a hot topic in behavioral finance. How to measure investor sentiment? Is the influence of on stock market symmetrical? That all we need think about. Therefore, this paper firstly selects five emotional proxy variables and constructs an composite index by principal component analysis. Secondly, MS-VAR model employed study dynamic relationship among sentiment, returns, volat...

The movement of prices in the crude oil market are important to international economy and financial asset returns. Day-of- the-week effect is a great challenge market's effectiveness. We examine evolution day-of-the-week investigate its implications based on West Texas Intermediate return from 14 May 2007 2021. have obtained convincing findings that there abnormal positive Wednesdays because in...

This paper investigates spillovers between the housing sentiment index of Bork et al.(2020), common factors in US real returns and their volatility, GDP growth interest rates. We find that contrast to from factor GDP, reverse are relatively weak. suggests that, while a shock prices is likely have significant impact on economy, purely exogenous may itself little volatility.