Skip to main content

Simple german sentiment

Project description

GerSent

GerSent is a project that tries to make a relativ good sentiment of a german sentence. Our first approach will be simple techniques like wordlist or interpration to assess the given sentence.

Getting Started

First you have to install our package. pip install gersent

Now you are able to run a simple sentiment analysis over a german sentence.

from gersent import GerSent

ger_senti = GerSent()

print(ger_senti.sentiment('Ich bin ein guter Satz.')

Configurations

Examples

Positiv

# Die Äpfel schmecken gut.
{'negative': 0.0, 'positive': 0.3716, 'composite': 0.3716}

# Die Äpfel schmecken gut!
{'negative': 0.0, 'positive': 0.39018, 'composite': 0.39018}

# Die Äpfel schmecken gut!!!
{'negative': 0.0, 'positive': 0.42733999999999994, 'composite': 0.42733999999999994}

# Die Äpfel schmecken sehr gut!
{'negative': 0.0, 'positive': 0.39018, 'composite': 0.39018}

Negativ

# Die Äpfel schmecken nicht gut.
{'negative': -0.0, 'positive': -0.3716, 'composite': -0.3716}

References

Wordlists

R. Remus, U. Quasthoff & G. Heyer: SentiWS - a Publicly Available German-language Resource for Sentiment Analysis. In: Proceedings of the 7th International Language Ressources and Evaluation (LREC'10), 2010

Project details


Download files

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

Files for gersent, version 0.0.6
Filename, size File type Python version Upload date Hashes
Filename, size gersent-0.0.6-py3-none-any.whl (111.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size gersent-0.0.6.tar.gz (103.1 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page