stop_words

174 English stop words in the tm package

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

stop_words function

Format

Stop Words from the tm Package — stop_words

Stop Words from the tm Package

stop_words: Stop Words from the tm Package

Description

Usage

Arguments

Format

Examples