neo_ipip_extraversion

<p>A list (length = 6) of the NEO-PI-R IPIP item descriptions
(https://ipip.ori.org/newNEOFacetsKey.htm). Each vector within
the 6 list elements contains the item descriptions for the
respective Extraversion facets -- friendliness, gregariousness,
assertiveness, activity_level, excitement_seeking, and
cheerfulness</p>

datasets

Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default image/video pipeline is Open AI's CLIP  <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.

Aleksandar Tomašević

transforEmotion

Sentiment Analysis for Text, Image and Video using Transformer
Models

Alexander Christensen

Hudson Golino

neo_ipip_extraversion function

Format

NEO-PI-R IPIP Extraversion Item Descriptions — neo_ipip_extraversion

NEO-PI-R IPIP Extraversion Item Descriptions

neo_ipip_extraversion: NEO-PI-R IPIP Extraversion Item Descriptions

Description

Usage

Arguments

Format

Examples