Sentiment Analysis for Text, Image and Video using Transformer Models

---

Documentation for package ‘transforEmotion’ version 0.1.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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