Sentiment Analysis for Text, Image and Video using Transformer
Models
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Documentation for package ‘transforEmotion’ version 0.1.4
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 |
| 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 |
| 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 |