WordSeer’s Clean comeback- Finally Satisfied!

Second blog post on WordSeer…let’s see, there was definitely many ups and downs!

First off, I think it is super sweet that Aditi Muralidharan took the time to read my blog and apologize for the slow speed of the program. Aditi, it isn’t your fault, this is how everything in life gets better- with trial and error- but I still greatly appreciate your sincere concern (<3). I came to realize this when working in my group on our presentation that we plan to show the class on Friday. I have a super great group and with all of our ideas and feedback it was going through the same process of getting through problems and finding the best way to convey our findings in the most correct and accurate way as possible. PS- spending 20 minutes on a sentence was well worth it! We discovered new things such as the “newspaper” application (thank you Richelle for this!) that highlights one word throughout the entire text. This was a really great finding, however, we as a group ran into the problem of not being able to do a “snippet” (highlighting an entire scene of the play) therefore not enabling us to use the newspaper application as we couldn’t get the one scene of 3.4 alone. This made it difficult to compare as we only knew the findings for the entire play leading us to the issue of not knowing how to include this in our presentation.

The neat thing in general about WordSeer is that through the “read and annotate” button (which at first many of us struggled with) we were able to make notes and highlights. We realized that even though it was a challenge to get just 3.4., when studying the entire text it is an amazing tool once the browser glitches are fixed. It is wonderful in doing initial research, allowing one to get a hypothesis and a good start in using other tools and methods to continue the research. The program is really organized, and lets us put our notes and tags directly on the text which is readily available too which serves as another convenience! WordSeer, I believe, is the best tool in finding certain words in a text and providing evidence that shows the significance of those words which leads to the understanding of theme and tone, characters, and meaning.

The one thing that I cannot be happier about in concerns to my digital humanities program is that WordSeer has a simple face, easing the troubled minds of the technologically challenged such as myself. Sure, I ran into problems, but in the overall experience of using this program- it came to be more pleasant than frustrating. It also helped that my group and I were very open with each other and we worked as a great team! Thanks guys, you all rock!

Once we navigated through the initial obstacles, the more we got used to our program the easier and less complicated it got. The results were clean and polished, and provided us many answers, even more than we had expected. It shows qualitative and quantitative answers, each result leading us to more search options and ideas.

To be honest, since WordSeer seemed the easiest program to use- I admit that I underestimated its capabilities. I remember in one of my twitter questions, I had asked if WordSeer would provide vague and simple answers as the program appeared basic compared to the more techie tools such as Tapor. I was pleasantly surprised to know that complicated and hard doesn’t lead to more intelligent and detailed results. Less is more in this case, and what a relief I tell you!


3 thoughts on “WordSeer’s Clean comeback- Finally Satisfied!

  1. I can see what you mean about clean and simple — particularly in contrast to some of the other tools!

  2. Hey Ayesha,
    Its great to see that you feel more comfortable with your program. I know we both discussed our doubts about our individual programs but I think by experimenting with the program definitely helped. I faced the same problem when it came to isolating just act 3.4 for analysis. Its awesome that the developers of your program actually helped you when you found glitches in the program and responded so quickly. You said you believe that a simple and easy program can produce the same intelligent responses as a more complicated tool; do you think this will hold true when it comes to comparing a whole text rather than just a scene or do you think the tools can compliment each other?

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