No more eyeing the battery or frustrating calls at the wrong time any more. Now, You can play (HD) Ocean Bubble Shooter on PC with GameLoop smoothly.ĭownload it in the GameLoop library or search results. To link to the TimescaleDB database, access Grafana server dashboard and follow Grafana instruction to link to the database (choose PostgreSQL), and use the query editor to create data visualization panels.(HD) Ocean Bubble Shooter, coming from the developer Peach Studio, is running on Android systerm in the past. To start a Grafana server, download Grafana from, and follow instructions to set up the server. To run while regenerating the above lists, do To run bubble-breaker using the default/existing taxonomy, theme, news source lists, do The Grafana web layer servers the analytics to display the database contents. The data is transformed to perform calculation of tone score analytics and loaded to TimescaleDB. The event data is extracted from S3 datasource and cleaned according to the prescription above. They are the top 500 themes using 2015-2019, and top 100 news sources using 2018 data. To limit the query list to a reasonable length, I picked the most frequent (cleaned) themes and news sources. Once such taxonomy list is constructed, it is used in the cleaning of the themes. Currently the default list is generated with 2018 data in a batch job. After the word count, if the count of a word is equal to or above a preset threshold, it is considered a taxonomy word and added to a list recording all known taxonomy words. That is, the first two words in an encoded theme are not always taxonomy words. I do this by performing a word counr of the first two words in a theme split by '_', as the prefixes always appear within the first two words of the encoded theme. To clean the taxonomy words that appear as prefixes, one needs to first determine the list of taxononmy words. The taxonomy words do not help a human reader reading the theme, generally speaking. For example, the theme 'CLIMATE_CHANGE' is encoded as A complete record of this taxonomy has yet to be found by me. New themes in GDELT are encoded in a specific taxonomy. Sudo psql -U postgres -d bubblebreaker -a -f bubblebreaker_src.sql Job Preparation Theme Cleaning Sudo psql -U postgres -d bubblebreaker -a -f bubblebreaker.sql For bubble-breaker, you can create two tables on a machine where PostgreSQL is installed by (assuming the username of PostgreSQL is 'postgres') The schema files used can be found in db. To set up a TimescaleDB database, follow the instructions on. TimescaleDB is also open-source and free. Since TimescaleDB is built as an extension on top of PostgreSQL, it also comes with the familiar SQL language and supports. I chose TimescaleDB to store batch-processed data because it provides time-partitioning for faster data ingestion and query, as well as time-oriented features. Since the news data is naturally timestamped, it makes sense to query the data in a time-oriented fashion. The sentiment scores, or "tones", in this project are obtained entirely from GDELT's sentiment analyses on new texts. The dataset amounts to ~1.3TB per year, and is updated every 15 minute. The Global Database of Events, Language, and Tone (GDELT) dataset gathers news reports from all over the globe, and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes, images and events involved. │ ├── compute-analytics-top-cleaned-themes.py ├── compute-analytics-top-cleaned-themes-daily-with-src.py
0 Comments
Leave a Reply. |