texthero | Text preprocessing , representation and visualization | Natural Language Processing library

by jbesomi Python Version: 1.1.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | texthero Summary

texthero is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. texthero has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install texthero' or download it from GitHub, PyPI.

Text preprocessing, representation and visualization from zero to hero. From zero to hero • Installation • Getting Started • Examples • API • FAQ • Contributions.

Support

Quality

Security

License

Reuse

Support

texthero has a medium active ecosystem.

It has 2741 star(s) with 230 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 64 have been closed. On average issues are closed in 98 days. There are 26 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of texthero is 1.1.0

Quality

texthero has 0 bugs and 0 code smells.

Security

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

texthero code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

texthero is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

texthero releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

texthero saves you 934 person hours of effort in developing the same functionality from scratch.

It has 2131 lines of code, 122 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Generate a sequence of phrases
Tokenize a string
Merge data into a dictionary
Extract appearance from data
Remove tags from string
Replace tags in s
Remove stopwords from a string
Replace stopwords in a text series
Decorator to replace NaN
Fill missing values
Cleans the given series
Return default pipeline
Remove digits from a string
Replace digits in s
Convert in_html to md file
Add metadata to the document
Extract the id from the given filename
Clean the team s dataframe
Download data from url
Get herohero links
Get the preferred module name
Drop elements with no content
Remove URLs from a string
Remove punctuation from a string
Remove hash tags from a series
Return a BeautifulSoup object

Get all kandi verified functions for this library.

texthero Key Features

No Key Features are available at this moment for texthero.

texthero Examples and Code Snippets

No module named 'gensim.sklearn_api' how to resolve

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

python -m pip install gensim==3.8.3

No attribute "str" on dataframe when creating a plot

Python

Lines of Code : 16

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df['polarity'] = df['polarity'].astype('float')   
maxx = df.nlargest(5, 'polarity')

from wordcloud import WordCloud

text_data = ' '.join(maxx['clen_tweet']) 

wordcloud = WordCloud().generate(text_data)
plt.imsho

Texthero TD-IDF Calculation

Python

Lines of Code : 32

License : Strong Copyleft (CC BY-SA 4.0)

Copy

sklearn.feature_extraction.text.TfidfVectorizer(
    *, 
    input='content', 
    encoding='utf-8', 
    decode_error='strict', 
    strip_accents=None, 
    lowercase=True, 
    preprocessor=None, 
    tokenizer=None, 
    analyzer='word

Community Discussions

Trending Discussions on texthero

No module named 'gensim.sklearn_api' how to resolve

I am getting the following error when importing import texthero as hero

Typescript types for Prismic Slices

Texthero TD-IDF Calculation

QUESTION

No module named 'gensim.sklearn_api' how to resolve

Asked 2021-Apr-28 at 08:12

Im little confuse i would like use texthero library for some pca analysis. But when i trying run my code :

...

ANSWER

Answered 2021-Apr-27 at 16:23

It seems that the module "gensim.sklearn_api" has been removed with version 4 of Gensim. Try downgrading Gensim's version.

Source https://stackoverflow.com/questions/67278439

QUESTION

I am getting the following error when importing import texthero as hero

Asked 2021-Apr-02 at 15:47

I have been trying to load texthero into python but keep getting this error. I have already upgraded the gensim module.

Error

...

ANSWER

Answered 2021-Apr-02 at 15:47

Try

Source https://stackoverflow.com/questions/66921706

QUESTION

Typescript types for Prismic Slices

Asked 2020-Sep-09 at 03:22

I'm building a site using Prismic, Gatsby, and Typescript. Part of the appeal of Prismic is the slice feature, which allows you to create dynamic content sections that are easier for content editors to use. I've got a component called SliceZone that maps through all the slices on a page:

SliceZone.tsx

...

ANSWER

Answered 2020-Sep-09 at 03:22

The issue is when your mapping of const sliceComponents =. It's missing a signature, so the return type is implicitly any. As the error says.

You could make it explicit by saying you have a list of React class components/function components?

Source https://stackoverflow.com/questions/63800196

QUESTION

Texthero TD-IDF Calculation

Asked 2020-Jul-22 at 07:21

What is the difference in calculating TF-IDF through Texthero:

...

ANSWER

Answered 2020-Jul-22 at 07:21

Short answer

tfidf does not preprocess the input text and just apply the TF-IDF algorithm, whereas by default TfidfVectorizer preprocess the input.

Functions signature

The difference lays in the way you are supposed to deal with the two frameworks.

Look at the functions signatures:

scikit-learn TfidfVectorizer:

Source https://stackoverflow.com/questions/62924233

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

Vulnerabilities

No vulnerabilities reported

Install texthero

Install texthero via pip:. ☝️Under the hoods, Texthero makes use of multiple NLP and machine learning toolkits such as Gensim, NLTK, SpaCy and scikit-learn. You don't need to install them all separately, pip will take care of that. For faster performance, make sure you have installed Spacy version >= 2.2. Also, make sure you have a recent version of python, the higher, the best.
The best way to learn Texthero is through the Getting Started docs. In case you are an advanced python user, then help(texthero) should do the work.

Support

"Texthero has been developed by a member of the NLP community for the whole NLP-community". Texthero is for all of us NLP-developers and it can continue to exist with the precious contribution of the community.

Find more information at: