Are there well-known automated methods for deriving a name for each topic obtained through topic modeling? for a specifically given problem at hand I will probably default to an algorithm on top an ontology, on top the topic modeling results. But I'm highly curious as to whether there's something that I am missing, in the general case.
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I have categorized 800,000 documents into 500 categories using the Mahout topic modelling.  Instead of representing the topic using the top 5/10 words for each topics, I want to infer a generic name for the group using any existing algorithm. For the time being, I have used the following algorithm to arrive at the name for the topic:  For each topic   Take all the documents belonging to the topic (using the document-topic distribution output) Run python nltk to get the noun phrases Create the TF file from the output name for the topic is the phrase (limited towards max 5 words)   Please suggest a approach to arrive at more relevant name for the topics.
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In mathematics (and other sciences) there are thousands of concepts, theorems, lemmas, etc which are named after some mathematicians (scientists). However, this nominations are not always very straightforward, especially if we are going to assign a new name for new concepts. For example, I can imagine the following scenarios and I would like to know what general protocol we should apply in each case:    A concept may have several origins in different fields and due to several individuals.  A concept is built on another concept which already have a name and this can happen several times. For example "Hecke pairs" is a concept in mathematics, then Bost and Connes make a particular Hecke pair famous, so we have "the Bost-Connes Hecke pairs". Should we name all influential people  in each stage of advancement of a concept? If an author invents a concept, is it appropriate to name it after him/herself,  or he/she should wait others call it after his/her name? A concept was invented by some author "X" in long time ago, and then it has evolved to something very modern and somehow different. Should we still call it by the name "X"?    Please do not hesitate to add new items if you can imagine other scenarios too.  Finally, I would like to ask another related question:  Can we use acronyms in stead of the full names, especially if the names of several people are involved?
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I was asking a question in serverfault.com and this message warned me (correctly!):     The question you're asking appears   subjective and is likely to be closed   So, I'm curious if there any classifier or machine learning technique behind, or if it is just some heuristics on keywords.  Do you know?
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I have two simple questions:   From where do the names  come from? I don't see any intuition between those names in context of order theory. From where does the notation come? I have to admit, I always had an impression that notation we use is somewhat backwards... just take the look at the picture at the wikipedia!    I used this notation a lot of times and I have to admit that often I have to stop for a minute and convince myself that I'm indeed using it right. I'm hoping that learning a bit about origin and context of name choice and notation will make it easier.
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Questions like looking for css templates, blog templates, icons ... In general, resources (let's leave the licensing terms aside for now) which you might need when building a project of your own. Where should those questions go?  They're definitely not on-topic on Stack', SuperUser maybe although I doubt it. Webapps? Hmm, probably not.  Is there a place where they would be on-topic on the SE network?
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I am trying to find some database tutorials,books and similar, since I have started this course in college, and received some material, but it is really hard to manage through all the info on the net. I searched through the questions on the site but didn't find any. Thankfull for all your input.
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I am writing my thesis, and the title goes as follows "A study of data mining techniques for ...". I wonder if it would be better to omit the indefinite article "a" in the title, i.e. "Study of data mining techniques for ..." Perhaps both titles are correct, but probably one of the two is more appropriate (but I don't know which one because I am not a native English speaker).
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I want to search for several related tags at once. When I type multiple tag-names in the search box, only one gets selected and I have to sift through a horde of non-pertinent questions.   E.g. 1: I want to find all questions where 'java' AND 'netbeans' AND 'tomcat' all are defined per question.  E.g. 2: (this may be a bit much to hope for) I want to find all questions where 'java' AND 'netbeans' BUT_NOT 'tomcat' is defined.  Alternatively, is there a way to search through the previous search results?  Is this possible?
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I think I've seen this question before, but I can't find it. The problem is simple; before I assign a name to a node I would like to know if the name is already used.  I think when a node is created \node (name) {label}; some macros are defined from name.
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They say naming things is one of the hardest problems in computer programming. They were right.  Given the pseudocode below, what is a more appropriate name for this collection of properties? "Course", "Route", "Heading", "Orientation" all don't capture it.  class NewtonianStuff { // &lt;-- Needs a better name   vec3 position, velocity, acceleration; // &lt;-- What is this group called   quat rotation; };  class SpaceShip {     NewtonianStuff xxxxxx; // &lt;-- What do you call that };   Perhaps that collection is too abstract. What is the formal name for this collection of properties?  vec3 position, velocity, acceleration;   The best I can come up with is "PositionAndDerivatives", which doesn't really flow.
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Is there a term for the acceptance of a made up term that then became the name of the object/idea/action once it was invented?   Example: Cyberspace. It was first used by William Gibson in his cyberpunk novels, but when actually invented, it now is widely used across the world (or at least across the United States).  Is there a term for this phenomenon?
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How do we refer to a question and all of its answers and comments collectively?  What is the normal word to use for this? I associate thread more with forums, not with SE. But is it used? What's the normally understood term on SE?  I also asked a  asking about Q&amp;A sites in general (not just SE convention), and going deeper into language aspects.  Here, I'm asking: What's the common way to say it on SE?
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If I have a template (say a generic letter) that is filled in with various pieces of data (say, the name of the addressee), what is a general term for those pieces of data?  For example:  Dear {firstname}, This is just a friendly reminder that the book {booktitle} will be due on {duedate}. Thank you.   What would I refer to {firstname}, {booktitle} and {duedate} as?
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K-means is probably one of the most used algorithms for clustering. I was looking for bibliography for its first use, but it has been around a lot, so what's the first one?  Also, when was the algorithm first named "k-means"?
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What is it called when you use many words to describe the word you want to use?  I know there is a technical word that's used in foreign language acquisition that means using many words to describe a word you don't know.  I'm doing it now, just talking and beating around the bush until someone can tell me the word I'm looking for.
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I have spent days trying to determine a clean way to do the following:   Display a list of all top-level terms in a vocabulary with links to their child terms Upon clicking a link, be taken to a list of the children of those terms.  Ad infinitum until the lowest-level term, for which a list of nodes tagged with that term will be displayed.    This seems like it would be pretty commonly-needed functionality but I can't find any solution that can handle arbitrary depth, particularly if not all term trees  descend to the same depth.  An ideal solution would be one that uses Views 3, Contexts, EntityFieldQueries, or anything else that's well-supported in Drupal 7.  I'm able to do almost exactly what I want by making a simple view with three node:term relationships (term, term's parent, and term's parent's parent) and user those for sequential contextual filters. The only problem with this is that if there's a node with a termpath of too little depth, it gets listed as "uncategorized" and generates a dead link. Instead of doing that I'd like it to link to the next child term available.
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I'm currently working on many machine learning and computational algorithms, such as Singular Value Decomposition, Support Vector Machines, and others.  I'd like to ask questions about these topics, but I don't know which Stack Exchange website to use to post my questions.   Should I use ? Should I use ? Should I use ? Should I use ?   How do I tell?  What criteria do I use?