Skip to main content

Libreria para clasificar texto

Project description

Table of Contents

  1. Informacion General
  2. Tecnologia
  3. Instalacion

Informacion General


La librería twotuples tiene como objetivo clasificar opiniones o comentarios en positivo, negativo o neutral. Esta herramienta utiliza tres clasificadores de texto y un clasificador difuso basado en los resultados de los anteriores. Durante su desarrollo, la librería fue probada con 21,847 comentarios de hoteles extraídos de la página TripAdvisor, obteniendo resultados excelentes. Estos resultados fueron evaluados a través del análisis de diversas métricas.

Tecnologias


Lista tecnologias usadas en este proyecto

Installation


Requerimientos e Instalacion Para el funcionamiento de twotuples es necesario instalar una serie librerias.

pip intall nltk

pip intall transformers[sentencepiece]

pip intall spacy

pip intall scikit-learn

pip intall numpy

pip install pandas

pip intall matplotlib

pip install transformers accelerate

pip install pysentimiento

pip install asent

Intalar ahora twotuples

pip install -i https://test.pypi.org/simple/ Twotuples==1.0.7

Se recomienda usar e intalar Twotuples en google colab o en un entorno virtual en la computadora personal



Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

twotuples-1.2.0.tar.gz (6.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

twotuples-1.2.0-py3-none-any.whl (7.3 kB view details)

Uploaded Python 3

File details

Details for the file twotuples-1.2.0.tar.gz.

File metadata

  • Download URL: twotuples-1.2.0.tar.gz
  • Upload date:
  • Size: 6.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.6

File hashes

Hashes for twotuples-1.2.0.tar.gz
Algorithm Hash digest
SHA256 44d6da067fadc35c86a6056b2c9291ed61ffe64a23efeedd012f0f59268497a0
MD5 5032364e6e8a55fc179e8b5ca0dd4d76
BLAKE2b-256 6f344fa4ff220978fa9f4fa5b830b9ef7c536187a7b2bd945411874f783b655e

See more details on using hashes here.

File details

Details for the file twotuples-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: twotuples-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 7.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.6

File hashes

Hashes for twotuples-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 23c42df62a485c7bbbf9c258770f6af0714a3d693e80346d685256820f41304f
MD5 43db03ed320679d71fa52c1a9d4fd85f
BLAKE2b-256 c3f9c6926ebf283d3ab1569b4bf66238086a6ad0177708b3db5504a5f40fb4d7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page