Understanding Questions Leximancer
I think we might need a Postspace for understanding questions concerning Leximancer, where Phillip can help out too…
I just started reading the text for tomorrow and I don’t get the following part within:
A unified body of text is examined to select a ranked list of important lexical terms on the basis of word frequency and co-occurrence usage. [...] Next, the text is classified using these concepts at a high resolution, which is normally every three sentences. This produces a concept index for the text and a concept co-occurrence matrix. By calculating the relative co-occurrence frequencies of the concepts, an asymmetric co-occurrence matrix is obtained. This matrix is used to produce a two-dimensional concept map via a novel emergent clustering algorithm. The connectedness of each concept in this semantic network is employed to
generate a third hierarchical dimension, which displays the more general parent concepts at the higher levels.
Does that mean for us we can’t seperate the tweets? That can’t be true I saw that it was done in Leximancer.. ahhhhhh, please help 
Sorry, im kinda lost with this one as well,,,
Claire, what do you mean by “separating tweets”? Plus: where is the quote from?
Smith, A., E. (2006) Evaluation of Unsupervised Semantic Mapping of Natural Language with Leximancer Concept Mapping.
https://demo.leximancer.com/wiki/images/3/3d/B144.pdf
First Page on the right.
I wonder if “unified body of text” means that all 200.000 tweets are seen as one single text. If yes, is that a problem?
I hope the question is not totally stupid.
We will use today to watch a 100 min video tutorial about Leximancer… Maybe that will answer my question