Accern is a fast-growing U.S.-based artificial Intelligence (AI) start-up, which allows enterprises to build powerful workflow automation and risk management solutions for investment research, financial crimes, credit lending, and reputational risks. They are focusing on big data and AI extremely related to financial market trading and investment.
NEW YORK- Accern Corporation, a fast-growing AI fintech company, on Sept. 17, 2020, declared the launch of a new Presidential Election dashboard to track and inspect sentiment around the upcoming election. Business analysts and researchers can instantly access Accern’s ready-made Presidential Election Insights use case and view the data through a dashboard without knowledge of code.
Accern’s new Presidential Election dashboard and the integrated data store of over 1 billion global public news sites and blogs, helps the investors to track news and examine sentiment, to measure the impact of the U.S. presidential election in 2020. The COVID-19 pandemic outbreak and the 2020 U.S. presidential election have produced uncertainty in the nation leads to market volatility for investors. To automate hours of manual researching, identifying, and extracting data, the researchers and analysts are turning to artificial intelligence and machine learning with the amount of unorganised content on the Internet today.
The dashboard provides users with a divergent thinking solution to acquire insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard recover and analyses data from Accern’s integrated unorganized data store of over 1 billion global public news sites and blogs. Email [email protected]., to view the dashboard.
Accern implemented the following features and tactics to allow news tracking and sentiment analysis on target candidates:
- Data Store- Accern’s researchers recognized, researched and extracted relevant details from 2019 and 2020 historical data from a large unorganized data store of premium and public sources.
- AutoML Taxonomy– The analysts of Accern’s built taxonomies with AutoML to trace each candidates’ performances such as the campaign policies, appearances, and more across the US.
- Quality Assurance– Quality Assurance team of Accern’s has set the Presidential Election NLP model for better extraction logic of the candidates.
- Real-Time Generator– Real-time data is take-out to identify and bring out information on the specific presidential candidates and events around the elections with the news generated by second.
Kumesh Aroomoogan, the Co-founder and CEO of Accern stated that with a no-code and AI-platform they have reached a vital point in automating workflows in the financial industry, were without writing a single line of code investors can quickly build and deploy event-driven use cases in minutes. They are excited about the results of the new Presidential Election dashboard which provides financial service institutions with the capability to research, track, and analyse sentiment to produce better-informed investment decisions.