python - Clustering Using Latent Symantic Analysis -

-

suppose have corpus of documents , run lsa algorithm on it. how can use final matrix obtained after applying svd semantically cluster words appearing in corpus of documents? wikipedia says lsa can used find relation between terms. there library available in python can me accomplish task of semantically clustering words based on lsa?

try gensim (http://radimrehurek.com/gensim/index.html), install following these instruction: http://radimrehurek.com/gensim/install.html

then here code sample:

from gensim import corpora, models, similarities  documents = ["human machine interface lab abc computer applications",              "a survey of user opinion of computer system response time",              "the eps user interface management system",              "system , human system engineering testing of eps",              "relation of user perceived response time error measurement",              "the generation of random binary unordered trees",              "the intersection graph of paths in trees",              "graph minors iv widths of trees , quasi ordering",              "graph minors survey"]  # remove common words , tokenize stoplist = set('for of , in'.split()) texts = [[word word in document.lower().split() if word not in stoplist]          document in documents]  # remove words appear once all_tokens = sum(texts, []) tokens_once = set(word word in set(all_tokens) if all_tokens.count(word) == 1)  texts = [[word word in text if word not in tokens_once] text in texts]  dictionary = corpora.dictionary(texts) corp = [dictionary.doc2bow(text) text in texts]  # extract 400 lsi topics; use default one-pass algorithm lsi = models.lsimodel.lsimodel(corpus=corp, id2word=dictionary, num_topics=400)  # print contributing words (both positively , negatively) each of first ten topics lsi.print_topics(10)

Popular posts from this blog

How to calculate SNR of signals in MATLAB? -

-
i've encountered simple, yet fundamental problem on calculating snr: there several signals : s1 = original , pure clean signal without noise. n1 = white gaussian noise going added s1. s2 = s1 + n1 (the noisy signal before performing noise-reduction algorithm) s3 = noise-reduced signal (after performing noise reduction algorithm) n2 = s3 - s1 (the amount of noise after performing noise-reduction algorithm) now want compare snr before , after performing noise-reduction algorithm. which signals should consider snr_before!? s1/n1 or s2/n1 ? which signals should consider snr_after!? s3/n1 or s3/n2 ? which commands or functions should use in matlab in order compute snr_before , snr_after? thanks billion putting time on helping me. what know calculating snr before : snrbeforenoise = mean( signal .^ 2 ) / mean( noise .^ 2 ); and snr after : residual_noise = signal - noise_reduced_signal; snr_after = mean( signal .^ 2 ) / mean( residual_noise .^ 2
Read more

c# - Attempting to upload to FTP: System.Net.WebException: System error -

-
i have api takes in xml , uploads files based on information in xml. uploads on schedule (also xml), , have tested surrounding , know works. i getting error 40% of time on first file attempt upload in each time cycle (time cycle = 45 minutes files, 30 minutes others). here code upload: try { loggerftp.log("uploading file: " + filename, false); // create request. ftpwebrequest request = (ftpwebrequest)webrequest.create(appsettingsftp.ftpurl + @"/" + filename); request.method = webrequestmethods.ftp.uploadfile; request.timeout = 6000000; //set 100 minutes //request.timeout = -1; //set infinite // add login credentials. request.credentials = new networkcredential(appsettingsftp.ftplogin, appsettingsftp.ftppassword); // grab file contents. streamreader sourcestream = new streamreader(appsettingsftp.uploadfiledirectory + filename); byte[] filecontents = encoding.utf8.getbytes(sourcestream.readtoend()); sourcest
Read more

ios - UISlider customization: how to properly add shadow to custom knob image -

-
Image
i need place custom knob image shadow uislider. far have image of 38x38, of there region defines shadow of knob. now while using image, when slide knob extreme ends actual knob not able cover end points, hence end points visible under transparent region of knob image this code using customize uislider uiimage *slidebtimg = [uiimage imagenamed:sliderknobimg]; [self.ratingslider setthumbimage:slidebtimg forstate:uicontrolstatenormal]; [self.ratingslider setthumbimage:slidebtimg forstate:uicontrolstatehighlighted]; how can implement custom knob shadow beneath it, covering end points?? look inside uislider.h , there methods let customize slider knob , track needed. (ios 2.0 , above) // lets subclass lay out track , thumb needed - (cgrect)minimumvalueimagerectforbounds:(cgrect)bounds; - (cgrect)maximumvalueimagerectforbounds:(cgrect)bounds; - (cgrect)trackrectforbounds:(cgrect)bounds; - (cgrect)thumbrectforbounds:(cgrect)bounds trackrect:(cgrect)rect value:
Read more