Expressions of moral sentiment play a fundamental role in political framing, social solidarity, and basic human motivation. Moral rhetoric helps us communicate the reasoning behind our choices, how we feel we should govern, and the communities to which we belong. In this paper, we use shortpost social media to compare the accuracy of text analysis methods for detecting moral rhetoric and longer...

The database contains an upload of text comments in Russian from the social network VKontakte .csv format (UTF-8 encoding) . are collected communities, which discuss pregnancy, childhood, motherhood, paternity, etc. under posts with interaction took place. absolute amount likes is used as a criterion (comments where number greater than or equal to 5). data processed (stemmization and lemmatizat...

In this article we investigate how the public communication of Hungarian Central Bank’s Monetary Council (MC) affects sovereign bond yields. This research ties into advances made in financial and political economy literature which rely on extensive textual data quantitative text analysis tools. While prior demonstrated that forward guidance, form council meeting minutes or press releases can be...

Sentiment analysis as a sub-field of natural language processing has received increased attention in the past decade enabling organisations to more effectively manage their reputation through online media monitoring. Many drivers impact reputation, however, this thesis focuses only aspect financial performance and explores gap with regards sentiment South African context. Results showed that pr...

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 2019, the Indian Loksabha Election saw around 360 million tweets on Twitter, giving their opinions and showing sentiment toward political leaders parties. The parties have used this technique to run campaigns understand of public; also enables them modify accordingly. We performed text mining approximately 2 collected over four months that referenced national in India during campaigning peri...

Abstract COVID-19 pandemic has continued to pose a challenge the society for almost three years, adversely affecting all segments of population in scale unseen recent decades. Over course pandemic, many people have lost their jobs and income. These social economic impacts disrupted market, potentially altering people's attitudes towards different product features. Therefore, this paper investig...

Sentiment analysis refers to the process of automatically identifying emotions expressed by people. Its accuracy is highly dependent on amount training data. However, it takes time and cost for humans collect a large number Many research works used generative models generate data based small sentiment analysis. long texts inaccurate information that might be generated are two severe challenges....

Halal Certificate is a halal guarantee certificate for product issued by an institution, be it private institution or government agency. There are pros and cons among the public researchers regarding existence of certification. Therefore, this research was conducted to examine certification within scope economy in terms opinions Twitter social media users. The method used qualitative approach w...

This report details the findings in building a large-scale linear regression sentiment model for an Amazon book review corpus. We studied and applied a number of regression and NLP techniques, including Unigram/Bigrams, stop-word removal, ridge and lasso regression. 1. DATA CORPUS The corpus contains 975194 non-distinct book reviews collected from Amazon by Mark Dredze and others at Johns Hopki...