There are a few steps in the process. Broadly, we use Natural Language Processing algorithms. After running some descriptive statistics, we then determine what the optimal clustering of the topics is. We then look at which articles are most likely to occur within a given topic. For the summarization, we then determine what sentences are most representative of the topics.
Right now, we query the PubMed database, which indexes the biomedical literature. This is a vast area that includes social services, public health, sociology, criminology, and some educational literature. We are looking to expand in the future by more explicitly pulling in the educational and business literature.
"Best" means different things to different people. On the free tier, we show a random selection from the most frequently occurring journals for your query. On the premium tier, we select the article most representative of each topic using a specific algorithm. We are working to incorporate other proxy indicators, such as the number of citations an article has received.
Patience, you must have my young Padawan! Running analyses on datasets in the hundreds (or thousands) takes time. However, we are continually upgrading our distributed computing to bring you results faster and faster.
That's not really a question 😉. Our clustering and summarization methods are entirely computer-driven. The computer doesn't care whether a human can interpret the results; it just looks at the words as data and goes from there. That said, we are always at work, improving the quality of our underlying methods to make sure that you get results that are meaningful to you.
When you don't get any results, usually the problem is in spelling. First, check to make sure that all your search terms are spelled correctly. Our team is working to implement some predictive text mechanisms to help you out. Next, try to broaden your search. Additionally, your topic area may not be covered in the PubMed database!
Yes, we offer steep discounts for institutional or business accounts. Reach out to us for pricing at firstname.lastname@example.org
We have optimized our pricing for students, so for the time being, we do not offer discounts for those with .edu addresses.
We want to make things as simple as possible. You can cancel your subscription at any time and drop down to the free tier, while still retaining access for the time you have purchased.
Yep, we are specifically looking for people to lead our organizational/institutional sales team right now. We also are always improving our underlying algorithms, so we are also looking for methodologists with expertise in LSTM architectures.
Dawn Chorus is our parent company that broadly works in community-based research and evaluation to improve social justice and wellness in our society through the implementation sciences. We have a wide portfolio that looks at how organizational readiness help to improve outcomes and are developing many other methods to help make a dent in social problems.