Questions tagged [word]

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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=...
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1answer
36 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 ...
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1answer
29 views

Searching for a dataset that targets difficult words

I am trying to find a dataset in which dataset targets words that are difficult. I understand there would be different levels of difficulty for each individual , but if we considered an average ...
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0answers
12 views

How to Create a mongodb collection from docx table

I've many docx files with tables used as "database" 😑 I'am on web app using flask and mongodb as db ... Can anyone help me to know the steps to transform docx tables into mongodb collection.
1
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0answers
24 views

Extract editing history from Microsoft Word documents? [closed]

Is there a tool to computationally extract the editing history of a given Microsoft Word Document? I have been using Apache Tika, but can only extract the last version of the text, and meta-...
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0answers
12 views

what R and Python package can predict a word list with certain probability after one known word?

I have a lot of documents, I need to know after one know word, which words occurs with which probability. For example: ...
1
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2answers
240 views

Word Embedding for Item Names(integer, one-hot encoding)

I am looking for the way to get the similarity between two item names using integer encoding or one-hot encoding. For example, "lane connector" vs. "a truck crane". I have 100,000 ...
1
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1answer
8k views

Replacing words by numbers in multiple columns of a data frame in R

I want to replace the values in a data set (sample in the picture) using numbers instead of words, e.g., 1 instead of D, ...
2
votes
1answer
2k views

Use pretrained word vectors over custom trained word2vecs

Currently i'm working on a sentiment analysis research project using LSTM networks. As the input I convert sentences into set of vectors using word2vec. And there are some well pretrained word ...
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1answer
675 views

How can I get semantic word embneddings for compound terms?

I need to build semantic word embeddings representation of compound terms like "electronic engineer" or "microsoft excel". One approach would be to use a standard pretrained model an average the words ...