TextMining | Python文本挖掘系统 Research of Text Mining System | Natural Language Processing library

by lining0806 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | TextMining Summary

TextMining is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. TextMining has no bugs, it has no vulnerabilities and it has low support. However TextMining build file is not available. You can download it from GitHub.

Python文本挖掘系统 Research of Text Mining System

Support

Quality

Security

License

Reuse

Support

TextMining has a low active ecosystem.

It has 278 star(s) with 159 fork(s). There are 34 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 1392 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TextMining is current.

Quality

TextMining has 0 bugs and 131 code smells.

Security

TextMining has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TextMining code analysis shows 0 unresolved vulnerabilities.

There are 2 security hotspots that need review.

License

TextMining 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

TextMining releases are not available. You will need to build from source code and install.

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

Installation instructions are not available. Examples and code snippets are available.

TextMining saves you 340 person hours of effort in developing the same functionality from scratch.

It has 815 lines of code, 36 functions and 7 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Send an email
Format an address

Get all kandi verified functions for this library.

TextMining Key Features

No Key Features are available at this moment for TextMining.

TextMining Examples and Code Snippets

No Code Snippets are available at this moment for TextMining.

Community Discussions

Trending Discussions on TextMining

"Wrong" TF IDF Scores

Searching for a word group with TFidfvectorizer

Stopwords Remaining in Corpus After Cleaning

spacy showing import module error while it is already installed

How to find the shortest path with multiple nodes and multiple relationships in Neo4j

how show graph with relationship filtrered?

OutOfMemoryError while reproducing BioGrakn Text Mining example with client Java

Remove for loop from stringdist algorithm in R

How to perfom stemming and drop columns in pandas dataframe in python?

access csv files in python

QUESTION

"Wrong" TF IDF Scores

Asked 2020-Sep-07 at 18:30

I have 1000 .txt files and planned searching for various keywords and calculate their TF-IDF Score. But for some reason the results are > 1. I did a test with 2 .txt files then: "I am studying nfc" and "You don't need AI" . For nfc and AI the TF-IDF should be 0.25 but when I open the .csv it says 1.4054651081081644.

I must admit that I did not choose the most efficient way for the code. I think the mistake is with the folders since I originally planned to check the documents by their year (annual reports from 2000-2010). But I canceled those plans and decided to check all annual reports as a whole corpus. I think the folders workaround is the problem still. I placed the 2 txt. files into the folder "-". Is there a way to make it count right?

...

ANSWER

Answered 2020-Sep-07 at 18:30

I think the mistake is, that you are defining the norm as norm=None, but the norm should be l1 or l2 as specified in the documentation.

Source https://stackoverflow.com/questions/63738530

QUESTION

Searching for a word group with TFidfvectorizer

Asked 2020-Aug-15 at 01:15

I'm using sklearn to receive the TF-IDF for a given keyword list. It works fine but the only thing not working is that it doesn't count word groups such as "car manufacturers". How could I fix this? Should I use a different module ?

Pfa, the first lines of code so you see which modules I used. Thanks in advance !

...

ANSWER

Answered 2020-Aug-15 at 01:15

You need to pass the ngram_range parameter in the CountVectorizer to get the result you are expecting. You can read the documentation with an example here.

https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html

You can fix this like this.

Source https://stackoverflow.com/questions/63130475

QUESTION

Stopwords Remaining in Corpus After Cleaning

Asked 2020-Feb-24 at 10:25

I am attempting to remove the stopword "the" from my corpus, however not all instances are being removed.

...

ANSWER

Answered 2020-Feb-24 at 10:25

Hereby reproducable code which leads to 0 instances of "the". I solved your typo and used your code from before the edit.

Source https://stackoverflow.com/questions/60300439

QUESTION

spacy showing import module error while it is already installed

Asked 2019-Nov-30 at 11:05

spacy is installed in vir env in python console

Building wheels for collected packages: en-core-web-sm Building wheel for en-core-web-sm (setup.py) ... done Created wheel for en-core-web-sm: filename=en_core_web_sm-2.1.0-cp36-none-any.whl size=11074439 sha256=f67b5d1a325b5d49f50c2a0765610c51d01ff2644e78fa8568fc141506dac87c Stored in directory: C:\Users\DUDE\AppData\Local\Temp\pip-ephem-wheel-cache-02mgn7_m\wheels\39\ea\3b\507f7df78be8631a7a3d7090962194cf55bc1158572c0be77f Successfully built en-core-web-sm Installing collected packages: en-core-web-sm Successfully installed en-core-web-sm-2.1.0 ✔ Download and installation successful You can now load the model via spacy.load('en_core_web_sm') You do not have sufficient privilege to perform this operation. ✘ Couldn't link model to 'en' Creating a symlink in spacy/data failed. Make sure you have the required permissions and try re-running the command as admin, or use a virtualenv. You can still import the model as a module and call its load() method, or create the symlink manually. E:\anaconda\envs\textmining\lib\site-packages\en_core_web_sm --> E:\anaconda\envs\textmining\lib\site-packages\spacy\data\en ⚠ Download successful but linking failed Creating a shortcut link for 'en' didn't work (maybe you don't have admin permissions?), but you can still load the model via its full package name: nlp = spacy.load('en_core_web_sm')

Tried this in jupyter notebook

!pip install spacy

Requirement already satisfied: spacy in e:\anaconda\envs\textmining\lib\site-packages (2.1.8) Requirement already satisfied: blis<0.3.0,>=0.2.2 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (0.2.4) Requirement already satisfied: requests<3.0.0,>=2.13.0 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (2.22.0) Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (1.0.2) Requirement already satisfied: wasabi<1.1.0,>=0.2.0 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (0.2.2) Requirement already satisfied: srsly<1.1.0,>=0.0.6 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (0.1.0) Requirement already satisfied: numpy>=1.15.0 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (1.17.1) Requirement already satisfied: plac<1.0.0,>=0.9.6 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (0.9.6) Requirement already satisfied: cymem<2.1.0,>=2.0.2 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (2.0.2) Requirement already satisfied: preshed<2.1.0,>=2.0.1 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (2.0.1) Requirement already satisfied: thinc<7.1.0,>=7.0.8 in e:\anaconda\envs\textmining\lib\site-packages (from spacy) (7.0.8) Requirement already satisfied: certifi>=2017.4.17 in e:\anaconda\envs\textmining\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy) (2019.6.16) Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in e:\anaconda\envs\textmining\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy) (1.25.3) Requirement already satisfied: chardet<3.1.0,>=3.0.2 in e:\anaconda\envs\textmining\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy) (3.0.4) Requirement already satisfied: idna<2.9,>=2.5 in e:\anaconda\envs\textmining\lib\site-packages (from requests<3.0.0,>=2.13.0->spacy) (2.8) Requirement already satisfied: tqdm<5.0.0,>=4.10.0 in e:\anaconda\envs\textmining\lib\site-packages (from thinc<7.1.0,>=7.0.8->spacy) (4.35.0)

...

ANSWER

Answered 2019-Aug-28 at 07:31

I was able to run the spacy in python console, so I assumed the problem was with jupyter notebook. I followed https://anbasile.github.io/programming/2017/06/25/jupyter-venv/

what i did is, I added pip install ipykernel then ipython kernel install --user --name=projectname At this point, you can start jupyter, create a new notebook and select the kernel that lives inside your environment.

Source https://stackoverflow.com/questions/57679852

QUESTION

How to find the shortest path with multiple nodes and multiple relationships in Neo4j

Asked 2019-Aug-16 at 18:22

I am not an expert in Cypher but I'm in a project where I have several nodes with the following properties:

...

ANSWER

Answered 2019-Aug-15 at 20:25

If you mean that you want each relationship to have a score >= 500, then this should return the shortest path:

Source https://stackoverflow.com/questions/57510173

QUESTION

how show graph with relationship filtrered?

Asked 2019-Aug-08 at 12:43

I have a node called "COG1476" which has different relationships with other nodes but I would like to get only those relationships that have a score> = 700 and I would also like to get the graph.

...

ANSWER

Answered 2019-Aug-08 at 12:43

Based on your comments, I think two things are wrong:

You've got a syntax error in your WHERE clause, which we fix by replacing the commas with ORs
You need to configure the Neo4j Browser app to only show matched relationships (or use the Table view)

First let's fix the query:

Source https://stackoverflow.com/questions/57409506

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:

...

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

QUESTION

Remove for loop from stringdist algorithm in R

Asked 2019-Jun-05 at 16:50

I've made an algorithm to determine scores of matching strings from 2 dataframes in R. It will search for each row in test_ech the matching rows which their score is above 0.75 in test_data (based on the matching of 3 columns from each data frame).

Well, my code works perfectly with small data frame but I'm dealing with dataframes of 12m rows and the process will take at least 5 days to be done. So I think that if I discard "for loops" It will work but I really don't know how to do it. (and if there's extra changes that I need to do to lighten the process)

Thanks.

...

ANSWER

Answered 2019-Jun-05 at 16:50

I'm not sure if this completely solves your problem given the dimensions of your original data, but you can reduce your time substantially by doing it over one for loop instead of two. You can do this because the stringsim function accepts a single character object on one side and a vector on the other.

Source https://stackoverflow.com/questions/56443957

QUESTION

How to perfom stemming and drop columns in pandas dataframe in python?

Asked 2019-Apr-13 at 15:34

Below is the subset of my dataset. I am trying to clean my dataset using Porter stemmer that is available in nltk package. I would like to drop columns that are similar in their stems for example "abandon','abondoned','abondening' should be just abondoned in my dataset. Below is the code I am trying, where I can see words/columns being stemmed. But I am not sure about how to drop those columns? I have already tokeninze and removed punctuation from the corpus.

Note: I am new to Python and Textmining.

Dataset Subset

...

ANSWER

Answered 2019-Apr-13 at 15:18

I think something like this does what you want:

Source https://stackoverflow.com/questions/55666673

QUESTION

access csv files in python

Asked 2018-Nov-23 at 15:51

import pandas as pd
csv_path="D:/arun/datasets/US Presidential Data.csv"
data=pd.read_csv(csv_path)

...

ANSWER

Answered 2018-Nov-23 at 09:41

It is an encoding error. I hope utf8 can handle that. Try

Source https://stackoverflow.com/questions/53443975

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

Vulnerabilities

No vulnerabilities reported

Install TextMining

You can download it from GitHub.
You can use TextMining 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 .

Find more information at: