Trending Topics on Twitter Improve the Prediction of Google Hot Queries

Abstract

Abstract-Once every five minutes, Twitter publishes a list of trending topics by monitoring and analyzing tweets from its users. Similarly, Google makes available hourly a list of hot queries that have been issued to the search engine. In this work, we analyze the time series derived from the daily volume index of each trend, either by Twitter or Google. Our study on a real-world dataset reveals that about 26% of the trending topics raising from Twitter "as-is" are also found as hot queries issued to Google. Also, we find that about 72% of the similar trends appear first on Twitter. Thus, we assess the relation between comparable Twitter and Google trends by testing three classes of time series regression models. We validate the forecasting power of Twitter by showing that models, which use Google as the dependent variable and Twitter as the explanatory variable, retain as significant the past values of Twitter 60% of times.

Sentiment Analysis Approach for Analyzing iPhone Release using Support Vector Machine

“…A surprising fact was presented by Giummole et al [11] stated that trending topics on Twitter will increase the prediction of search results on Google. This can happen because in every five minutes, Twitter will issue a list of very popular topics (trending topics) by monitoring and analyzing conversations, while Google will also issue a list of popular searches that are searched by its users every hour.…”

Peningkatan Visibilitas Buku Ilmiah Elektronik Memanfaatkan Aplikasi Google

“…Beberapa kajian terdahulu yang berkaitan dengan topik yang dikaji dalam penelitian ini di antaranya penelitian terkait Twitter. Giummolè, Orlando and Tolomei (2013) mencatat bahwa Twitter merupakan salah satu media sosial daring paling populer dan platform microblogging tempat setiap orang berbagi informasi hampir secara real-time dengan membaca dan menulis apa yang disebut tweet.…”

“…Hal ini juga sejalan dengan temuan Giummolè et al, (2013) bahwa Twitter berdampak pada permintaan terhadap artikel Wikipedia atau secara umum bisa dikatakan peningkatan minat dari pengguna internet untuk mencari definisi atau referensi lain yang relevan. Hal tersebut menjadi peluang bagi buku ilmiah elektronik, khususnya yang memiliki akses terbuka untuk menjadi acuan definisi atau referensi pada suatu topik yang sedang populer di internet.…”

Twitter anticipates bursts of requests for Wikipedia articles

“…De Francisci Morales et al [2] recommend interesting news to users by exploiting the information in their Twitter persona. Giummolè et al [3] study the re-Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored.…”