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相关论文: What Food Do We Tweet about on a Rainy Day?

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We analysed sentiment and frequencies related to smell, taste and temperature expressed by food tweets in the Latvian language. To get a better understanding of the role of smell, taste and temperature in the mental map of food…

计算与语言 · 计算机科学 2021-06-10 Maija Kāle , Matīss Rikters

This study explores how different weather conditions influence public sentiment on social media, focusing on Twitter data from the UK. By considering climate and linguistic baselines, we improve the accuracy of weather-related sentiment…

人机交互 · 计算机科学 2024-07-11 James C. Young , Rudy Arthur , Hywel T. P. Williams

This research builds upon the Latvian Twitter Eater Corpus (LTEC), which is focused on the narrow domain of tweets related to food, drinks, eating and drinking. LTEC has been collected for more than 12 years and reaching almost 3 million…

计算与语言 · 计算机科学 2024-12-10 Matīss Rikters , Edison Marrese-Taylor , Rinalds Vīksna

We investigate the predictive power behind the language of food on social media. We collect a corpus of over three million food-related posts from Twitter and demonstrate that many latent population characteristics can be directly predicted…

计算与语言 · 计算机科学 2016-11-15 Daniel Fried , Mihai Surdeanu , Stephen Kobourov , Melanie Hingle , Dane Bell

While it is well-documented that climate change accepters and deniers have become increasingly polarized in the United States over time, there has been no large-scale examination of whether these individuals are prone to changing their…

计算与语言 · 计算机科学 2020-06-09 Allison Koenecke , Jordi Feliu-Fabà

While it has long been believed in psychology that weather somehow influences human's mood, the debates have been going on for decades about how they are correlated. In this paper, we try to study this long-lasting topic by harnessing a new…

社会与信息网络 · 计算机科学 2014-11-03 Jiwei Li , Xun Wang , Eduard Hovy

We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with…

计算与语言 · 计算机科学 2020-09-02 Uga Sproģis , Matīss Rikters

Nowadays social media platforms such as Twitter provide a great opportunity to understand public opinion of climate change compared to traditional survey methods. In this paper, we constructed a massive climate change Twitter dataset and…

计算与语言 · 计算机科学 2021-12-01 Zhongkai Shangguan , Zihe Zheng , Lei Lin

Food is an integral part of our lives, cultures, and well-being, and is of major interest to public health. The collection of daily nutritional data involves keeping detailed diaries or periodic surveys and is limited in scope and reach.…

计算机与社会 · 计算机科学 2015-01-27 Sofiane Abbar , Yelena Mejova , Ingmar Weber

Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the…

社会与信息网络 · 计算机科学 2015-08-17 Anusha A. , Sanjay Singh

With the exponential growth in the usage of social media to share live updates about life, taking pictures has become an unavoidable phenomenon. Individuals unknowingly create a unique knowledge base with these images. The food images, in…

计算机视觉与模式识别 · 计算机科学 2020-03-20 Nitish Nag , Bindu Rajanna , Ramesh Jain

With the widespread adoption of social media sites like Twitter and Facebook, there has been a shift in the way information is produced and consumed. Earlier, the only producers of information were traditional news organizations, which…

社会与信息网络 · 计算机科学 2017-10-19 Juhi Kulshrestha , Muhammad Bilal Zafar , Lisette Espin-Noboa , Krishna P. Gummadi , Saptarshi Ghosh

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it…

计算与语言 · 计算机科学 2024-10-28 Daniyar Amangeldi , Aida Usmanova , Pakizar Shamoi

The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque…

This study examines the relationship between Yelp reviews and food types, investigating how ratings, sentiments, and topics vary across different types of food. Specifically, we analyze how ratings and sentiments of reviews vary across food…

计算与语言 · 计算机科学 2023-07-21 Wenyu Liao , Yiqing Shi , Yujia Hu , Wei Quan

Weather affects our mood and behaviors, and many aspects of our life. When it is sunny, most people become happier; but when it rains, some people get depressed. Despite this evidence and the abundance of data, weather has mostly been…

计算机与社会 · 计算机科学 2017-03-28 Shi Zong , Branislav Kveton , Shlomo Berkovsky , Azin Ashkan , Nikos Vlassis , Zheng Wen

The ability to obtain accurate food security metrics in developing areas where relevant data can be sparse is critically important for policy makers tasked with implementing food aid programs. As a result, a great deal of work has been…

计算与语言 · 计算机科学 2019-04-29 Jared Dunnmon , Swetava Ganguli , Darren Hau , Brooke Husic

We conduct the largest ever investigation into the relationship between meteorological conditions and the sentiment of human expressions. To do this, we employ over three and a half billion social media posts from tens of millions of…

Nowadays, people from all around the world use social media sites to share information. Twitter for example is a platform in which users send, read posts known as tweets and interact with different communities. Users share their daily…

计算与语言 · 计算机科学 2020-07-14 Antony Samuels , John Mcgonical

Background: Studies examining how sentiment on social media varies depending on timing and location appear to produce inconsistent results, making it hard to design systems that use sentiment to detect localized events for public health…

社会与信息网络 · 计算机科学 2019-05-16 Zubair Shah , Paige Martin , Enrico Coiera , Kenneth D. Mandl , Adam G. Dunn
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