Can someone help me with how to find the most frequently used two and three words in a text using R? My text is... text <- c("There is a difference between the common use of the term phrase an...

Using ngram in Python my aim is to find out verbs and their corresponding adverbs from an input text. What I have done: Input text:""He is talking weirdly. A horse can run fast. A big tree is ther...

Here's an appeal for a better way to do something that I can already do inefficiently: filter a series of n-gram tokens using "stop words" so that the occurrence of any stop word term in an n-gram ...

I am writing an R script and am using library(ngram). Suppose I have a string, "good qualiti dog food bought sever vital can dog food product found good qualiti product look like stew process mea...

The winner of a recent Wikipedia vandalism detection competition suggests that detection could be improved by "detecting random keyboard hits considering QWERTY keyboard layout". Example: woijf qo...

I use sklearn.feature_extraction.text.CountVectorizer to compute n-grams. Example: import sklearn.feature_extraction.text # FYI http://scikit-learn.org/stable/install.html ngram_size = 4 string = ...

Does TfidfVectorizer identify n-grams using python regular expressions? This issue arises while reading the documentation for scikit-learn TfidfVectorizer, I see that the pattern to recognize n-gr...

I am a beginner in Solr. In my project, NGramFilterFactory and EdgeNGramFilterFactory, both are being used for a field. My understanding as per the document is EdgeNGramFilterFactory is used for "s...

I want to take a text file and create a bigram of all words not separated by a dot ".", removing any special characters. I'm trying to do this using Spark and Scala. This text: Hello my Friend. H...

I am using solr for spell checking/ query correction. I have added solr.PhoneticFilterFactory and solr.NGramFilterFactory in fieldType to perform spell checking. It is working fine but here the pro...

I'm trying to load a couple of files into the memory. The files have either of the following 3 formats: string TAB int string TAB float int TAB float. Indeed, they are ngram statics files, i...

I am trying to do Sentiment Analysis on Tweets using Python. To begin with, I've implemented an n-grams model. So, lets say our training data is I am a good kid He is a good kid, but he didn't g...

I have a huge files of 3,000,000 lines and each line have 20-40 words. I have to extract 1 to 5 ngrams from the corpus. My input files are tokenized plain text, e.g.: This is a foo bar sentence . ...

I've been trying to find out an alternative for two straight days now, and couldn't find anything relevant. I'm basically trying to get a probabilistic score of a synthesized sentence (synthesized...

I'm getting started with the tm package in R, so please bear with me and apologies for the big ol' wall of text. I have created a fairly large corpus of Socialist/Communist propaganda and would lik...

To put my question in context, I would like to train and test/compare several (neural) language models. In order to focus on the models rather than data preparation I chose to use the Brown corpus ...

We would like to run a query that returns two word phrases that appear in more than one row. So for e.g. take the string "Data Ninja". Since it appears in more than one row in our dataset, the quer...

I'm a little confused about how to use ngrams in the scikit-learn library in Python, specifically, how the ngram_range argument works in a CountVectorizer. Running this code: from sklearn.featu...

I need to compare documents stored in a DB and come up with a similarity score between 0 and 1. The method I need to use has to be very simple. Implementing a vanilla version of n-grams (where it...

The following word2ngrams function extracts character 3grams from a word: >>> x = 'foobar' >>> n = 3 >>> [x[i:i+n] for i in range(len(x)-n+1)] ['foo', 'oob', 'oba', 'bar...

At least 3 types of n-grams can be considered for representing text documents: byte-level n-grams character-level n-grams word-level n-grams It's unclear to me which one should be used for a g...

I am trying to code dissociated press algorithm based on n-gram in scala. How to generate an n-gram for a large files: For example, for the file containing "the bee is the bee of the bees". Fir...

I'm new to text categorization techniques, I want to know the difference between the N-gram approach for text categorization and other classifier (decision tree, KNN, SVM) based text categorization...

In this documentation, there is example using nltk.collocations.BigramAssocMeasures(), BigramCollocationFinder,nltk.collocations.TrigramAssocMeasures(), and TrigramCollocationFinder. There is exam...

Drupal's core search module, only searches for keywords, e.g. "sandwich". Can I make it search with a substring e.g. "sandw" and return my sandwich-results? Maybe there is a plugin that does that?...