Package: transforEmotion 0.1.6

transforEmotion: Sentiment Analysis for Text, Image and Video using Transformer Models

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>.

Authors:Alexander Christensen [aut], Hudson Golino [aut], Aleksandar Tomašević [aut, cre]

# Install 'transforEmotion' in R:

install.packages('transforEmotion', repos = c('https://atomashevic.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

Last updated 28 days agofrom:d5d67d842a. Checks:OK: 1 NOTE: 6. Indexed: yes.

Alexander P. Christensen, Hudson Golino, Aleksandar Tomašević

Last update: 2024-01-09
Started: 2022-04-13

Help page	Topics
transforEmotion-package	transforEmotion-package transforEmotion
Calculate the moving average for a time series	calculate_moving_average
Check if the "transforEmotion" conda environment exists	conda_check
Delete a Transformer Model	delete_transformer
Dynamics function of the DLO model	dlo_dynamics
Emotions Data	emotions
Emoxicon Scores	emoxicon_scores
Generate and emphasize sudden jumps in emotion scores	emphasize
Generate observable emotion scores data from latent variables	generate_observables
Generate a matrix of Dynamic Error values for the DLO simulation	generate_q
Calculate image scores based on OpenAI CLIP model	image_scores
Multivariate Normal (Gaussian) Distribution	MASS_mvrnorm
NEO-PI-R IPIP Extraversion Item Descriptions	neo_ipip_extraversion
Natural Language Processing Scores	nlp_scores
Plot the latent or the observable emotion scores.	plot_sim_emotions
Punctuation Removal for Text	punctuate
Retrieval-augmented Generation (RAG)	rag
Sentiment Analysis Scores	sentence_similarity
Install GPU Python Modules	setup_gpu_modules
Install Miniconda and activate the transforEmotion environment	setup_miniconda
Install Necessary Python Modules	setup_modules
Simulate latent and observed emotion scores for a single "video"	simulate_video
Stop Words from the _tm_ Package	stop_words
Russian Trolls Data - Small Version	tinytrolls
Sentiment Analysis Scores	transformer_scores
Run FER on YouTube video	video_scores