semvec/pypi-packages huggingface dataset:
retfidf 0.0.2
This package provides a simple method to retrieve documents from large text corpora. For use in social sciences.
Requires Python: >=3.9

# Document retrieval for social sciences

This package provides a simple method to retrieve documents from large text corpora. For use in social sciences.  
It accompanies the paper [Finding democracy in big data: document retrieval using word-embedding] and is an  
implementation of the algorithm described in the paper.

### Manual

To create tfidf metrics, first pass the documents in list form to the class DocumentRetrieval at initialization.  
You can either pass a created word2vec model to the class, or let the algorithm train word embeddings for you.   
Then use the function calculate_similarity() with a keyword fo your choice to calculate the similarity between  
the documents and the query. This function will return a list of scores for each of the documents passed to the  
class at initialization.

You can use a multiple words query by simply passing it in a string format to the calculate_similarity() function.

### Proposed usage:

```python

from retfidf import doc_retrieval

df = pd.read_csv('corpus.csv')

emb_sim = doc_retrieval(df['text'])

query = 'democracy'

df['democracy_metrics'] = emb_sim.calculate_similarity(query)  
```

#### GITHUB
https://github.com/hplisiecki/document-retrieval-for-social-sciences
helpme-assistance 0.2.9
The project 'HelpMe' - its your personal CLI assistant. AddressBook, NoteBook, CleanFolder - in one app.

# HelpMe-project
The project **HelpMe-Assistance** - is your personal CLI assistant. AddressBook, NoteBook, CleanFolder -  in one App.

## Table of contents
* [General info](#general-info)
* [Technologies](#technologies)
* [Setup](#setup)

## General info
This is a bot-assistant product. It propose tree functionality:
* **Address Book** - add new contacts to the phonebook, together with birthday, email and address information. Additional features: edit and delete contacts, announce the next birthdays.
* **Note Book** - add note together with their title and tags. Additional features: add new tags, search by tags and key values, edit and delete notes. 
* **Clean Folder** - sort all files in the chosen folder and redirect them to the corresponding type-folders.
	
## Technologies
Project is mainly based on:
* Python OOPs Concepts 
Utilised modules: 
* normalize, datetime, collections(UserDict)
* file_parser, pickle  
	
## Setup
To run this project, install the [helpme-assistance](https://pypi.org/project/helpme-assistance/) packaje locally using `pip` and run it using `helpme` command:

```
$ pip install helpme-assistance 
$ # or
$ pip3 install helpme-assistance
$ helpme
```