Introduction of 1 paragraph.

Introduction of 1 paragraph.

Stem vs. Non-Stem topic 105 demonstrates the function of Mallet and the DFR browser as it relates to locating argumentation by students concerning which majors are worthwhile.

As a student at UCLA I had a professor that was teaching as a PhD student. She talked about looking for work with the students. She related stressed emotions about having to search all over the place and worried about moving and not getting paid much. Then she landed a job at San Jose State College where she is an assistant professor. So, her experience turned out pretty darn good even though she believed the doom and gloom.

Me too. Can you post a link to the Grad Report for September?

Yes. The students come out with a useful well defined set of tools that may be put to practical use until they can't because either job markets or a financial crisis. I think financial schools are all hoaxes. The best teach from models that assume an equilibrium which has little basis in reality. As long as the financial system remains healthy everything may be assumed to work according to models and the degrees have use value. STEM's problem also rests in the financial world but on market saturation. I studied the humanities because I wanted to find what I've been looking for all of my 62 years of life. That is, in particular, the answer to what meaning is. I can now trace it from the thoughts of a 19th century painter from his painting, remediated through binary code, and downloaded into my computer, instantly for my review. I like to review the meaning-making of others that have placed it in works of art, in books, and in code. Now that I consider it a kind of substance I can begin to process meaning with machines by way of Digital Humanities and can do it on a global scale. I like libraries and compendiums, corpus and corpora and all the meaning that will exist for as long as a machine is there to process it.

I thought some about this and about protocols in the form of white papers or RFCs tied to technology that changes and expands as fast as DH tech. In areas of DH it should work and informally definitely, and if not tied to the hermeneutics of the model. The underlying set of mathematics and perhaps some other things that rarely change, could be part of a protocol. The WE1S is courageous in addressing this subject which if formalized may be a game-changer for DH. I've only been familiar with protocols such as TCP/IP, SMTP, HTTP and the like which have to establish end to end results reliably. It would likely be easier to establish a protocol for dataset collection and workflow management criteria rather than topic modeling or other interpretative tools. Some might attempt rules and guidelines for interpretation methods that produce repeatable meaningful results. What if there as many research questions as there are researchers? Just thought I'd mention something. I liked your post and appreciated the ability to think again about what you guys were doing.

The randomization into a bag of words takes place at the location in the process as described in the article: "Latent Dirichlet allocation (Blei et al., 2003) provides an alternative approach to modeling textual corpora. Documents are modeled as finite mixtures over an underlying set of latent topics inferred from correlations between words, independent of word order" Topic Modeling: Beyond Bag-of-Words

Nice work. I'm still trying to get the correct number of claves with what I'm doing.

And Linux

This is a Page Note. It is called 1.

This is what I am doing while trying to get the annotations to work.

They will one day be the algorithms and unless we begin to program why the Humanities are important into them, they will be advocating for themselves. You may say that that seems like science fiction, but I don't think so.