Text-Mining | Using text mining to build a plagiarism detector | Data Mining library

by ShreshthSaxena Python Version: Current License: No License

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kandi X-RAY | Text-Mining Summary

Text-Mining is a Python library typically used in Data Processing, Data Mining applications. Text-Mining has no bugs, it has no vulnerabilities and it has low support. However Text-Mining build file is not available. You can download it from GitHub.

Using text mining to build a plagiarism detector based on similarity of documents.

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Text-Mining has a low active ecosystem.

It has 7 star(s) with 3 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Text-Mining has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Text-Mining is current.

Quality

Text-Mining has no bugs reported.

Security

Text-Mining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Text-Mining does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Text-Mining releases are not available. You will need to build from source code and install.

Text-Mining has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Text-Mining and discovered the below as its top functions. This is intended to give you an instant insight into Text-Mining implemented functionality, and help decide if they suit your requirements.

Tokenize text .
Compute the similarity between the query .

Get all kandi verified functions for this library.

Text-Mining Key Features

No Key Features are available at this moment for Text-Mining.

Text-Mining Examples and Code Snippets

No Code Snippets are available at this moment for Text-Mining.

Community Discussions

Trending Discussions on Text-Mining

text mining preprocessing must be applied to test or to train set?

How can I analyse a text from a pandas column?

Getting IndexError: list index out of range when calculating Euclidean distance

R - Export Extracted Text Data (Each Instance as Row) to data.frame Format

word columns appearing in text froma data frame column with their freuency in R

R: How to calculate tf-idf for a single term after getting the tf-idf matrix?

list of vectors in R - extract an element of the vectors

Remove empty strings in a list of lists in R

How to transform a txt of format [word|NN -0.3 word2 word3] into df with all word in a seperate row plus value

OutOfMemoryError while reproducing BioGrakn Text Mining example with client Java

QUESTION

text mining preprocessing must be applied to test or to train set?

Asked 2021-Apr-17 at 20:49

I'm doing some text-mining tasks and I have such a simple question and I still can't reach a conclusion.

I am applying pre-processing, such as tokenization and stemming to my training set so i can train my model.

Should I also apply this pre-processing to my test set?

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ANSWER

Answered 2021-Apr-17 at 20:38

Yes, you should apply same things to your test set. Because you test set must represent your train set, that's why they should be from same distribution. Let's think intuitively:

You will enter an exam. In order you to prepare for exam and get a normal result, lecturer should ask from same subjects in the lectures. But if the lecturer ask questions from a totally different subjects that no one has seen, it is not possible to get a normal result.

Source https://stackoverflow.com/questions/67142717

QUESTION

How can I analyse a text from a pandas column?

Asked 2020-May-05 at 19:51

I'm used to make some analysis from text files in Python. I usually do something like:

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ANSWER

Answered 2020-May-05 at 19:49

You can iterate through the rows:

Source https://stackoverflow.com/questions/61621686

QUESTION

Getting IndexError: list index out of range when calculating Euclidean distance

Asked 2020-Apr-10 at 09:11

I am trying to apply the code provided at https://towardsdatascience.com/3-basic-distance-measurement-in-text-mining-5852becff1d7 . When I use this with my own data I seem to access a part of list that does not exist, and just not able to identify where I am making this error:

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ANSWER

Answered 2020-Apr-10 at 09:11

The error in the example you provide is in the fact that transformed_results is a list with one element, holding the tokenized sentence 1.

only_event though has 2 sentences, and you are using that to provide i. So i will be 0 and 1. When i is 1, transformed_results[i] raises the error.

If you tokenize both sentences in only_event, for example with:

Source https://stackoverflow.com/questions/61117367

QUESTION

R - Export Extracted Text Data (Each Instance as Row) to data.frame Format

Asked 2020-Mar-12 at 13:56

I'm trying to extract/export text from i number of standardized instances within i number of standardized .txt forms into a data frame where each instance is a separate row. I then want to export that data as an .xlsx file. So far, I can successfully extract the data (though the algorithm extracts a little more than the stated gregexpr() parameters) but can only export as .txt as a lump sum of text.

How can I create a data frame of the extracted txt-files' text where each instance has its own row? (Once the data is in a data.frame format, I know how to export as xlsx from there.)
How can I extract only the data from the parameters I have set?

With help (particularly from Ben from the comments of this post), here is what I have so far:

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ANSWER

Answered 2020-Mar-11 at 22:15

I'm using dplyr for the convenience of the tibble object and the very effective bind_rows command:

Source https://stackoverflow.com/questions/60624107

QUESTION

word columns appearing in text froma data frame column with their freuency in R

Asked 2020-Mar-04 at 13:32

I have a question relating to this old post: R Text mining - how to change texts in R data frame column into several columns with word frequencies?

I am trying to mimic something exactly similar to the one posted in link above, using R, however, with strings containing numeric characters.

Suppose res is my data frame defined by:

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ANSWER

Answered 2020-Mar-04 at 13:32

You need to add the following to the freqs statement: removeNumbers = FALSE. The wfm function calls several other functions and one of them is tm::TermDocumentMatrix. In here the default supplied by wfm to this function is that removeNumbers = TRUE. So this needs to be set to FALSE.

Code:

Source https://stackoverflow.com/questions/60526020

QUESTION

R: How to calculate tf-idf for a single term after getting the tf-idf matrix?

Asked 2020-Jan-25 at 18:43

In the past, I have received help with building a tf-idf for the one of my document and got an output which I wanted (please see below).

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ANSWER

Answered 2020-Jan-25 at 18:43

In short, you cannot compute a tf-idf value for each feature, isolated from its document context, because each tf-idf value for a feature is specific to a document.

More specifically:

(inverse) document frequency is one value per feature, so indexed by $j$
term frequency is one value per term per document, so indexed by $ij$
tf-idf is therefore indexed by $i,j$

You can see this in your example:

Source https://stackoverflow.com/questions/59911279

QUESTION

list of vectors in R - extract an element of the vectors

Asked 2019-Nov-29 at 04:15

I have a list which contains some texts. So each element of the list is a text. And a text is a vector of words. So I have a list of vectors. I am doing some text-mining on that. Now, I'm trying to extract the words that are after the word "no". I transformed my vectors, so now they are vectors of two words. Such as : list(c("want friend", "friend funny", "funny nice", "nice glad", "glad become", "become no", "no more", "more guys"), c("no comfort", "comfort written", "written conduct","conduct prevent", "prevent manners", "matters no", "no one", "one want", "want be", "be fired"))

My aim is to have a list of vectors which will be like : list(c("more"), c("comfort", "one")) So I would be able to see for a text i the vectoe of results by liste[i].

So I have a formula to extract the word after "no" (in the first vector it will be "more"). But when I have several "no" in my text it doesn't work.

Here is my code :

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ANSWER

Answered 2019-Nov-22 at 11:17

In base R, we can use sapply to loop over list and grep to identify words with "no"

Source https://stackoverflow.com/questions/58993053

QUESTION

Remove empty strings in a list of lists in R

Asked 2019-Nov-21 at 14:33

I am currently working on a project of text-mining in R, with a list of lists. I want to remove all the empty strings and the NA values of my list of lists and I haven't found a way. My data looks like this :

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ANSWER

Answered 2019-Nov-21 at 14:32

you can use lapply and simple subsetting:

Source https://stackoverflow.com/questions/58977189

QUESTION

How to transform a txt of format [word|NN -0.3 word2 word3] into df with all word in a seperate row plus value

Asked 2019-Aug-09 at 16:46

I need help with a .txt that is very unfavourable formated.

The txt is formatted like this with more than 3000 rows.

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ANSWER

Answered 2019-Aug-09 at 16:46

library(dplyr)
stringr::str_split(rows,"\\||\\s+",simplify = TRUE)  %>%# separate by | or white space of any length
    as.data.frame() %>% # convert to dataframe so we can use dplyr
    mutate(V1 = stringr::str_c(V1,V4,sep = ","))  %>% # join all words in the same row
    select(-V2,-V4) %>% # drop all NNs and column 4
    tidyr::separate_rows(V1,sep = ",") %>% # use separate_rows to separate rows by comma for column 1
    rename(word = V1,value = V3) # rename columns

Source https://stackoverflow.com/questions/57434004

QUESTION

OutOfMemoryError while reproducing BioGrakn Text Mining example with client Java

Asked 2019-Jul-23 at 14:58

I'm trying to reproduce the BioGrakn example from the White Paper "Text Mined Knowledge Graphs" with the aim of building a text mined knowledge graph out of my (non-biomedical) document collection later on. Therefore, I buildt a Maven project out of the classes and the data from the textmining use case in the biograkn repo. My pom.xml looks like that:

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ANSWER

Answered 2019-Jul-23 at 13:41

It may be you need to allocate more memory for your program.

If there is some bug that is causing this issue then capture a heap dump (hprof) using the HeapDumpOnOutOfMemoryError flag. (Make sure you put the command line flags in the right order: Generate java dump when OutOfMemory)

Once you have the hprof you can analyze it using Eclipse Memory Analyzer Tool It has a very nice "Leak Suspects Report" you can run at startup that will help you see what is causing the excessive memory usage. Use 'Path to GC root' on any very large objects that look like leaks to see what is keeping them alive on the heap.

If you need a second opinion on what is causing the leak check out the IBM Heap Analyzer Tool, it works very well also.

Good luck!

Source https://stackoverflow.com/questions/57164755

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Text-Mining

You can download it from GitHub.
You can use Text-Mining like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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