mallet

问题 I'm getting an error while trying to access gensims mallet in jupyter notebooks. I have the specified file 'mallet' in the same folder as my notebook, but cant seem to access it. I tried routing to it from the C drive but I still get the same error. Please help :) import os from gensim.models.wrappers import LdaMallet #os.environ.update({'MALLET_HOME':r'C:/Users/new_mallet/mallet-2.0.8/'}) mallet_path = 'mallet' # update this path ldamallet = gensim.models.wrappers.LdaMallet(mallet_path,

问题 In MALLET topic modelling, the --output-topic-keys [FILENAME] option outputs beside each topic a parameter that in the tutorial in the MALLET site called "Dirichlet parameter " of the topic. I want to know what does this parameter represent? is it β in the LDA model? and if not what is it and what is it's meaning and use. I noted that when I don't use the parameter optimization option while generating the topic model, this parameter differs in version 2.0.7 than in version 2.0.8. I want to

问题 In MALLET topic modelling, the --output-topic-keys [FILENAME] option outputs beside each topic a parameter that in the tutorial in the MALLET site called "Dirichlet parameter " of the topic. I want to know what does this parameter represent? is it β in the LDA model? and if not what is it and what is it's meaning and use. I noted that when I don't use the parameter optimization option while generating the topic model, this parameter differs in version 2.0.7 than in version 2.0.8. I want to

问题 I am trying to run Mallet`s topic modelling but got the following error: Couldn't open cc.mallet.util.MalletLogger resources/logging.properties file. Perhaps the 'resources' directories weren't copied into the 'class' directory. Continuing. Exception in thread "main" java.lang.IllegalArgumentException: Trouble reading file stoplists\en.txt at cc.mallet.pipe.TokenSequenceRemoveStopwords.fileToStringArray(TokenSequenceRemoveStopwords.java:144) at cc.mallet.pipe.TokenSequenceRemoveStopwords.

问题 I'm trying to use hLDA to create a topic model and then to make inferences based on that model. But as far as I've seen, the topic inferencer tool only works on LDA models, am I right? Is there a way of inferencing topics from a hLDA model? 回答1: I found an hLDA Inferencer here from chyikwei on Github that I believe will get you there. I've tested it and have successfully (I think) used it to score new documents. Following the MALLET build instructions here, I rebuilt MALLET with the

问题 I have been using mallet for inferring topics for a text file containing 100,000 lines(around 34 MB in mallet format). But now i need to run it for on a file containing a million lines(around 180MB) and I am getting an java.lang.outofmemory exception . Is there a way of splitting the file into smaller ones and build a model for the data present in all the files combined?? thanks in advance 回答1: In bin/mallet.bat increase value for this line: set MALLET_MEMORY=1G 回答2: I'm not sure about

问题 It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center. Closed 6 years ago . I'm new to the subject of NLP and requested to perform -named entity recognition- (NER) using Mallet. I have a text, and I give feature vector for each word in it. I would like to train a model which later on I

问题 I'm using Mallet through Java, and I can't work out how to evaluate new documents against an existing topic model which I have trained. My initial code to generate my model is very similar to that in the Mallett Developers Guide for Topic Modelling, after which I simply save the model as a Java object. In a later process, I reload that Java object from file, add new instances via .addInstances() and would then like to evaluate only these new instances against the topics found in the original

问题 I'm using MALLET for topic analysis which is outputting results in text files ("topics.txt") of several thousand rows and a hundred or so rows where each row consists of tab-separated variables like this: Num1 text1 topic1 proportion1 topic2 proportion2 topic3 proportion3, etc. Num2 text2 topic1 proportion1 topic2 proportion2 topic3 proportion3, etc. Num3 text3 topic1 proportion1 topic2 proportion2 topic3 proportion3, etc. Here's a snippet of the actual data: > dat[1:5,1:10] V1 V2 V3 V4 V5 V6

问题 It is my first time to use mallet LDA. Basically, I downloaded the mallet-2.0.8 zip file and JDK. I installed JDK, extracted mallet-2.0.8 to a destination folder. I set the MALLET_HOME. Here is my code mallet_path='C:/Users/abc/mallet-2.0.8/bin/mallet' ldamallet=gensim.models.wrappers.LdaMallet(mallet_path,corpus=corpus,num_topics=20,id2word=id2word) However, it gives the error: FILENOTFOUNDERROR[ERROR2] I tried mallet_path='C:\\Users\\abc\\mallet-2.0.8\\bin\\mallet' and mallet_path=r'C: