senti_ws

Références :

post-marquage

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:senti_ws/pos-tagging')
  • Description :
SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, and pos-tagging. The POS tags are ["NN", "VVINF", "ADJX", "ADV"] -> ["noun", "verb", "adjective", "adverb"], and positive and negative polarity bearing words are weighted within the interval of [-1, 1].
  • Licence : Creative Commons Paternité-Pas d'Utilisation Commerciale-Partage des Conditions Initiales à l'Identique 3.0 Unported License
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 3471
  • Caractéristiques :
{
    "word": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "pos-tag": {
        "num_classes": 4,
        "names": [
            "NN",
            "VVINF",
            "ADJX",
            "ADV"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

évaluation des sentiments

Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :

ds = tfds.load('huggingface:senti_ws/sentiment-scoring')
  • Description :
SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, and pos-tagging. The POS tags are ["NN", "VVINF", "ADJX", "ADV"] -> ["noun", "verb", "adjective", "adverb"], and positive and negative polarity bearing words are weighted within the interval of [-1, 1].
  • Licence : Creative Commons Paternité-Pas d'Utilisation Commerciale-Partage des Conditions Initiales à l'Identique 3.0 Unported License
  • Version : 1.1.0
  • Divisions :
Diviser Exemples
'train' 3471
  • Caractéristiques :
{
    "word": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentiment-score": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    }
}