Questions tagged [bag-of-words]
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19
questions
0
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0answers
6 views
Choosing an explainable embedding and classifier when each document only have one sentence
I have dataset with corpus of 20K documents.
Each document is a short 1 sentences.
I need to classify each sentence in 0/1 classes as well as being able to point exactly what words are responsible for ...
0
votes
0answers
10 views
TF-IDF to find technical terms
I have some sentences and I want to see whether or not they contain words that are technical terms. I was thinking of working with Wikipedia texts: finding the most common words in a certain article, ...
0
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1answer
21 views
Getting context-word pairs for a continuous bag of words model and other confusions
Suppose I have a corpus with documents:
...
2
votes
1answer
47 views
Should bag of words in training set include test set data when doing text classification?
I'm doing text classification to identify 'attacks' from Wikipedia comments using a simple bag of words model and a linear SVM classifier. Because of class imbalance, I'm using the F1 score as my ...
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0answers
8 views
Bag Level labels from instance labels
I have a 4 class classification problem using speech data. The speech signals are of variable length ranging from 1 sec to 8 sec. I am making chunks of 3 secs by chopping the longer utterances and ...
2
votes
1answer
33 views
Usage of KL divergence to improve BOW model
For a university project, I chose to do sentiment analysis on a Google Play store reviews dataset. I obtained decent results classifying the data using the bag of words (BOW) model and an ADALINE ...
1
vote
2answers
236 views
How to decide to go with BOW or TFIDF
I know that there are methods that help in selecting features such as Matual Info, and Info Gain, etc.
But for datasets with thousands of records and thousands of features it is time consuming to ...
0
votes
1answer
42 views
How to decide which method to use TFIDF, or BOW
In a huge dataset for NLP it is taking very long time to classify my dataset
therefore, trying each feature extraction method separetly is time consuming and not effecient.
Is there a way that can ...
1
vote
1answer
17 views
Which phrase should be returned in case of multiple matches when comparing text?
I want to compare one sentence to some other sentences using the Bag of Words model. Suppose that my comparing sentence is:
I am playing football
and there are three more sentences that I want to ...
1
vote
2answers
78 views
Bag-of-words and Spam classifiers
I implemented a spam classifier using Bernoulli Naive Bayes, Logistic Regression, and SVM. Algorithms are trained on the entire Enron spam emails dataset using the Bag-of-words (BoW) approach. ...
0
votes
1answer
72 views
How to use scikit-learn to extract features from text when I only have positive and unlabeled data?
I'm looking for something similar to this
https://scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html#sphx-glr-auto-examples-text-plot-document-classification-...
1
vote
1answer
441 views
Why I would use TF-IDF after Bag-of-Words (CountVectorizer)?
In my recent studies over Machine Learning NLP tasks I found this very nice tutorial teaching how to build your first text classifier:
https://towardsdatascience.com/machine-learning-nlp-text-...
1
vote
1answer
50 views
One-hot vector for fixed vocabulary
given a vocabulary with $|V|=4$ and V = {I, want, this, cat} for example.
How does the bag-of-words representation with this vocabulary and one-hot encoding look like regarding example sentences:
You ...
0
votes
1answer
95 views
Machine learning algorithms for forming Homophones from input dataset word
https://www.google.com/search?sxsrf=ALeKk01_SgA8G4UfNm4rOqku4yJBFvKhLw%3A1600154854621&source=hp&ei=5mxgX8ztI6KZ4-EPq-mL8Ak&q=homophones+example&oq=Homophones&gs_lcp=...
1
vote
1answer
67 views
Machine learning algorithms for correct words formation from jumbled words
https://www.google.com/search?q=jumbled+words&oq=jumbled&aqs=chrome.1.69i57j0l4.3399j0j9&client=ms-android-lava&sourceid=chrome-mobile&ie=UTF-8
Can Machine learning algorithms ...
0
votes
1answer
259 views
Is it good practice to remove the numeric values from the text data during preprocessing?
Im doing preprocessing on a text dataset. I have certain numerics in it like:
date(1st July)
year(2019)
tentative values (3-5 years/ 10+ advantages).
unique values (room no 31/ user rank 45)
...
1
vote
3answers
632 views
How to process the hyphenated english words for any nlp problem?
Im doing preprocessing on english text dataset. I encounter hyphenated words like 'well-known'. Will it be useful
if I remove the hyphen as special character and treat it as a single word 'wellknown' ...
2
votes
1answer
62 views
Word representation that gives more weight to terms frequent in corpus?
The tf-idf discounts the words that appear in a lot of documents in the corpus. I am constructing an anomaly detection text classification algorithm that is trained only on valid documents. Later I ...
3
votes
0answers
75 views
Bag of words: Prediction on new (out-of-sample) data
I'm working with a bag of words in R:
library(tm)
corpus = VCorpus(textsource)
dtm = DocumentTermMatrix(corpus)
dtm = as.matrix(dtm)
I use the matrix ...
