Inferring International and Internal Migration Patterns from Twitter
7 апр. 2014 г. ABSTRACT. Data about migration flows are largely inconsistent across coun- tries typically outdated
Alleviating Data Sparsity for Twitter Sentiment Analysis
Twitter has brought much attention recently as a hot research topic in the domain of sentiment analysis. Training sentiment classifiers from tweets data often
Weaponizing data science for social engineering: Automated E2E
Taken together these techniques enable the world's first automated endtoend spear phishing campaign generator for Twitter. This research and code are for
Robust Sentiment Detection on Twitter from Biased and Noisy Data
Sentiment detection of tweets is one of the basic analysis utility functions needed by various appli- cations over twitter data. Many systems and ap- proaches
Lexical Correction of Polish Twitter Political Data
4 авг. 2017 г. Twitter data was stored in the database and fur- ther processed (see Section 6) with language tools offered as Web services in a common ...
Sentiment Analysis of Twitter Data
We use manually annotated Twitter data for our. 30. Page 2. experiments. One advantage of this data over pre- viously used data-sets
The Unified Logging Infrastructure for Data Analytics at Twitter
Twitter has built a Hadoop-based platform for large-scale data analytics running Pig [26 10] on a cluster of several hundred machines; see [19] for an earlier
rtweet: Collecting and analyzing Twitter data
24 окт. 2019 г. The second goal is to assist in the analysis of Twitter data via converting information returned by Twitter's APIs into tabular data structures ...
Degree based Classification of Harmful Speech using Twitter Data
on degree of hateful intent and used it to annotate twitter data accordingly. The key contribution of this paper is the new dataset of tweets we created
Your Twitter data
Page 1. Your Twitter data. Your profile. Gender. Age.
Politicians on Social Media. The online database of members of
25?/03?/2021 For politicians Twitter is an opportunity not only to inform people about their activities but also to communicate directly with voters.
Scalability Lecture 17 - Twitter Design Exercise.pdf
Imagine it's represented by a SQL database with three tables. Page 4. 4. Original/simplest design. • When a tweet arrives just copy it to the tweets table.
Vassilakis et al. - 2020 - Database Knowledge Enrichment Utilizing
07?/12?/2020 that utilizes the most trending Twitter topics in order to locate items in a database that are related to these topics. The track-.
Expanding a Database of Portuguese Tweets
predominance of young authors that use Twitter as a way of reaching their This work aims at expanding a database of tweets that was collected over eight ...
DISMISS: Database of Indian Social Media Influencers on Twitter
tematically categorised database of accounts of influence on. Twitter in India identified and annotated through an iterative process of friends
The Twitter parliamentarian database: Analyzing Twitter politics
16?/09?/2020 The Twitter parliamentarian database: Analyzing Twitter politics across 26 countries. Livia van VlietID. 1* Petter Tö rnberg2
Large-scale identification and characterization of scholars on Twitter
The method proceeds by matching the Twitter accounts against a database of millions of disambiguated bibliographic profiles from WoS. This paper describes the
Scholars on Twitter: who and how many are they?
The majority of research on Twitter use amongst academics deals with 500 From the Altmetric.com database we extracted all distinct Twitter accounts that ...
The Twitter parliamentarian database: Analyzing Twitter politics
S1 Table. This table shows the number of MPs on Twitter per country in the database. The legislative period id is an arbitrary id number that distinguishes
Twitter-STMHD: An Extensive User-Level Database of Multiple
Twitter-STMHD: An Extensive User-Level Database of Multiple Mental Health. Disorders. Suhavi1 Asmit Kumar Singh
Tweetsetstweetsets
First, we need to gather some data. George Washington University’s TweetSetsallows you to create your own data queries from existing Twitter datasets they have compiled. The datasets primarily focus on the biggest (mostly American) geopolitical events of the last few years, but the TweetSets website states they are also open to queries regarding th...
Selecting A Datasetselecting-A-Dataset
If you’re using TweetSets, click “Get Started” and you’ll be able to see a list of all of their existing datasets. Clicking the name of each set will give you more information on it, including its DOI, or Digital Object Identifier, which allows you to reliably locate a digital object (and learn more about how it was created). When you have decided ...
Filtering The Dataset with Parametersfiltering-The-Dataset-With-Parameters
On the parameters page, you have the option to limit your dataset by the tweet text content, hashtags used, mentions made, users who posted the tweets, users who are being replied to, the tweet type (original, quote, retweet, or reply), the timeframe during which the tweets were posted, or if they contain things like embedded images or geotags. As ...
Exporting The Datasetexporting-The-Dataset
To continue on, press “Create Dataset”, at which point you will need to provide a name. This distinguishes this dataset from others you create on the site, so make it something descriptive. Next, select “Generate tweet IDs” and provide an email address so you can be notified when a dataset has been generated. (This can take some time for large data...
Hydratinghydrating
Now that you have a set of tweet IDs, you can hydrate the file using the DocNow Hydrator, a free, open-source piece of hydration software found on GitHub. On this page, scroll past all the source files to the Install heading, where you can find a link to prebuilt releasesof the software. Select the correct version for your machine and install. You ...
Outputs and How to Use Themoutputs-And-How-To-Use-Them
Each tweet now has lots of useful metadata, including the time created, the included hashtags, number of retweets and favorites, and some geo info. One can imagine how this information can be used for a wide variety of explorations, including to map discourse around an issue on social media, explore the relationship between sentiment and virality, ...
Further Applicationsfurther-Applications
After repeating this process on the second column, this spreadsheet is ready to be used in a variety of social network visualizations. It will drop right in to a SNA tool like Palladio, or, with some light reformatting, into software like Gephi or Cytoscape. The VLOOKUP we did makes it so you can do the visualizations with human-legible user names,...
How is Twitter data used in research?
Twitter data are widely used for research purposes and are collected through a variety of methods and tools. In this guide, we’ll show you easy methods for acquiring Twitter data, with some gestures toward specific types of spatial and social analyses.
Why is Twitter using MySQL?
Twitter has one of the biggest deployments of MySQL right from its inception. It has MySQL clusters with thousands of nodes serving millions of queries per second. 1. Acting as the storage node for the distributed data store within Twitter’s sharding framework.
What database does Twitter use to store metrics?
Metrics DB is used at Twitter to store the metrics. The metric ingestion rate is more than 5 billion metrics per minute with 25K query requests per minute. Originally, Manhattan was used as the metric storage database but Twitter faced scalability issues along with not having support for additional minute metric tags.
