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Related papers: Sentiment Analysis on Inflation after Covid-19

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Predicting financial returns accurately poses a significant challenge due to the inherent uncertainty in financial time series data. Enhancing prediction models' performance hinges on effectively capturing both social and financial…

Computational Engineering, Finance, and Science · Computer Science 2024-03-08 Raffaele Giuseppe Cestari , Simone Formentin

Acquiring a better understanding of drought impacts becomes increasingly vital under a warming climate. Traditional drought indices describe mainly biophysical variables and not impacts on social, economic, and environmental systems. We…

Computation and Language · Computer Science 2022-12-09 Beichen Zhang , Frank Schilder , Kelly Helm Smith , Michael J. Hayes , Sherri Harms , Tsegaye Tadesse

Using a state-of-the-art large language model, we extract forward-looking and context-sensitive signals related to inflation and unemployment in the euro area from millions of Reddit submissions and comments. We develop daily indicators…

Econometrics · Economics 2025-06-13 Konstantin Boss , Luigi Longo , Luca Onorante

Text sentiment analysis for preliminary depression status estimation of users on social media is a widely exercised and feasible method, However, the immense variety of users accessing the social media websites and their ample mix of…

Computation and Language · Computer Science 2020-12-01 Sudhir Kumar Suman , Hrithwik Shalu , Lakshya A Agrawal , Archit Agrawal , Juned Kadiwala

This paper covers the two approaches for sentiment analysis: i) lexicon based method; ii) machine learning method. We describe several techniques to implement these approaches and discuss how they can be adopted for sentiment classification…

Computation and Language · Computer Science 2019-02-19 Olga Kolchyna , Tharsis T. P. Souza , Philip Treleaven , Tomaso Aste

Estimating the intensity of emotion has gained significance as modern textual inputs in potential applications like social media, e-retail markets, psychology, advertisements etc., carry a lot of emotions, feelings, expressions along with…

Information Retrieval · Computer Science 2019-04-02 Subba Reddy Oota , Adithya Avvaru , Mounika Marreddy , Radhika Mamidi

Sentiment analysis (SA), is an approach of natural language processing (NLP) for determining a text's emotional tone by analyzing subjective information such as views, feelings, and attitudes toward specific topics, products, services,…

Computation and Language · Computer Science 2024-07-18 Indranil Bandyopadhyay , Rahul Karmakar

Measuring and forecasting opinion trends from real-time social media is a long-standing goal of big-data analytics. Despite its importance, there has been no conclusive scientific evidence so far that social media activity can capture the…

Social and Information Networks · Computer Science 2018-09-12 Alexandre Bovet , Flaviano Morone , Hernan A. Makse

Public concern detection provides potential guidance to the authorities for crisis management before or during a pandemic outbreak. Detecting people's concerns and attention from online social media platforms has been widely acknowledged as…

Computation and Language · Computer Science 2021-06-21 Jingli Shi , Weihua Li , Sira Yongchareon , Yi Yang , Quan Bai

Inflation is one of the most important macroeconomic indicators that have a great impact on the population of any country and region. Inflation is influenced by range of factors, one of which is inflation expectations. Many central banks…

Statistical Finance · Quantitative Finance 2024-03-15 Vasilii Chsherbakov , Ilia Karpov

Sentiment analysis can largely influence the people to get the update of the current situation. Coronavirus (COVID-19) is a contagious illness caused by the coronavirus 2 that causes severe respiratory symptoms. The lives of millions have…

Social and Information Networks · Computer Science 2022-04-07 Nosin Ibna Mahbub , Md Rakibul Islam , Md Al Amin , Md Khairul Islam , Bikash Chandra Singh , Md Imran Hossain Showrov , Anirudda Sarkar

Cryptocurrencies have emerged as a novel financial asset garnering significant attention in recent years. A defining characteristic of these digital currencies is their pronounced short-term market volatility, primarily influenced by…

Computational Finance · Quantitative Finance 2024-01-02 Vahidin Jeleskovic , Stephen Mackay

Traditional sentiment construction in finance relies heavily on the dictionary-based approach, with a few exceptions using simple machine learning techniques such as Naive Bayes classifier. While the current literature has not yet invoked…

Statistical Finance · Quantitative Finance 2022-07-08 Joshua Zoen Git Hiew , Xin Huang , Hao Mou , Duan Li , Qi Wu , Yabo Xu

Twitter is a social media platform bridging most countries and allows real-time news discovery. Since the tweets on Twitter are usually short and express public feelings, thus provide a source for opinion mining and sentiment analysis for…

Computation and Language · Computer Science 2023-06-29 James She , Kamilla Swart-Arries , Mohammad Belal , Simon Wong

Real-time urban climate monitoring provides useful information that can be utilized to help monitor and adapt to extreme events, including urban heatwaves. Typical approaches to the monitoring of climate data include weather station…

Applications · Statistics 2015-09-18 Yoshiki Yamagata , Daisuke Murakami , Gareth W. Peters , Tomoko Matsui

There is a vast amount of data generated every second due to the rapidly growing technology in the current world. This area of research attempts to determine the feelings or opinions of people on social media posts. The dataset we used was…

Computation and Language · Computer Science 2023-01-24 Keshav Kapur , Rajitha Harikrishnan

Financial market prediction on the basis of online sentiment tracking has drawn a lot of attention recently. However, most results in this emerging domain rely on a unique, particular combination of data sets and sentiment tracking tools.…

Statistical Finance · Quantitative Finance 2012-04-19 Huina Mao , Scott Counts , Johan Bollen

Sentiment analysis is a crucial task in natural language processing (NLP) that enables the extraction of meaningful insights from textual data, particularly from dynamic platforms like Twitter and IMDB. This study explores a hybrid…

Computation and Language · Computer Science 2026-03-02 Aish Albladi , Md Kaosar Uddin , Minarul Islam , Cheryl Seals

Most of existing work learn sentiment-specific word representation for improving Twitter sentiment classification, which encoded both n-gram and distant supervised tweet sentiment information in learning process. They assume all words…

Computation and Language · Computer Science 2018-05-30 Shufeng Xiong

We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset of tweets to which we apply three sentiment scoring…

Social and Information Networks · Computer Science 2016-04-13 Nathaniel Charlton , Colin Singleton , Danica Vukadinović Greetham