Ipetram Information

Ipetram Inc. is a Toronto based data analytics company, founded by a group of PhD and master students from the University of Toronto. Ipetram provides digital currency data solution, data scraping, data analysis, data visualization, and machine learning services. So far, it has established collaborations with many top research, financial institutions and consulting firms around the world. 1) Products Descriptions In the recent years, digital currency has attracted huge public attention, more and more investors and researchers start to dig into this field. Nevertheless, these are no such a data solution that can satisfy people’s analytical needs. Therefore, Ipetram provides the whole set of data solution filling this blank. We employ data monitoring, data mining and block chain techniques to extract, to process, and to analyze digital currency related information, and provide a set of structured and standardized data to our clients. · Features 1.1. Comprehensive. Data from thousands of websites are included, such as the following, 1.1.1) Data (block-chain) trading on all exchange markets AND data trading over the counter(block chain data) 1.1.2) Social media, including Reddit, Facebook, Twitter, etc. 1.1.3) Block-chain Forum, such as Bitcoin Talk. 1.1.4) Block-chain related news, including BBC, newsbtc, coindesk, etc. 1.2. Everything is 24/7 realtime. Real-time monitoring system tracks all data from thousands of websites listed above, and runs 24/7. It can save your company valuable time by reducing manual labor to a minimum. 1.3. Sentiment analysis. A set of sophisticated algorithms that allows computers to ‘learn’ and calculate every single news or tweets coming from our realtime monitoring network. 2) Services Descriptions Ipetram provides services in data collection, data processing, data mining and data visualization: ·Data collection services include website information monitoring and historical data scraping. Website information monitoring involves gathering real-time data from various websites at certain frequency for a specified time period. In contrast, historical data scraping involves crawling specified data all at once. ·Data processing services help clients process their raw data (e.g. pdf files, html files, xml files) to a certain structured format. ·Data mining employs state of the art data mining and deep learning technologies to extract information, categorize texts, or conduct sentiment analysis of texts. These information/texts could be social network posts, news, or other forms of unstructured data. As a final step, all data will be converted into a structured format to offer easy analysis by clients. ·Data visualization helps clients understand the significance of their data through the use of simple charts, graphs, and diagrams. Patterns and trends that might go undetected in text-based data can be recognized easier with data visualization. 3) Project Descriptions For data scraping, we are experienced with scraping social network posts, news, patent, lawsuits, e-commerce data etc. For more information, please visit our website for previous completed projects or our new data center (currently in testing phase): datacoconut.com/en For data mining, we are skilled at performing sentiment analysis of texts, information extraction from unstructured data, and categorization.