the #Rtext tutorial is now published in #PsychologicalMethods

the 📦 1.0 is finally available from #CRAN

if u update, also re-install the conda environment with textrpp_install()

https://psyarxiv.com/293kt
#rstats #NLP #ML
#MachineLearning

If you're  user and interested in 🤗 #transformers, have a look at the text package by @oscarkjell et al.:

👉 https://r-text.org/

Great documentation, including preprint tutorial paper and example data on OSF.

#rstats #Rtext #HuggingFace #TextAsData #NLP

1 /9
How well can #PsychologicalConstructs be measured by analyzing natural language using #AI?

Our viewpoint is that #LargeLanguageModels provide the missing piece for natural language responses to replace closed-ended rating scales.

#LargeLanguageModels can accurately transform the rich information in natural language to psychological construct scores with high validity.

#ML #NLP #Rstats #Rtext
https://psyarxiv.com/yfd8g
with @handyschwartz @katarinakjell

1 /9
How well can #PsychologicalConstructs be measured by analyzing natural language using #AI?

Our viewpoint is that #LargeLanguageModels provide the missing piece for natural language responses to replace closed-ended rating scales.

#LargeLanguageModels can accurately transform the rich information in natural language to psychological construct scores with high validity.

#ML #NLP #Rstats #Rtext
https://psyarxiv.com/yfd8g
with @handyschwartz @katarinakjell

🎉 The text-package has been downloaded >10k from #CRAN

I'm really thankful for all the wonderful collaborations behind the development of the package!

https://www.r-text.org

#Rtext #Rstats
#NLP #ML

#Rtext #Tootorial 3

Many R objects from the text-package (e.g., word embeddings and trained models) have meta info ℹ️ that you can see with `comment()`:

```
embeddings <- textEmbed(
texts = "How are you?"
)

# see info about date creation and text version
comment(embeddings)

# see info about settings used in textEmbed()
comment(embeddings$texts$texts)

```

#Rstats #NLP #ML
https://r-text.org/

#Rtext #Tootorial 2

Transform natural language to word embeddings (numeric representations):

```
text::textEmbed(
texts = "How are you?",
model = "bert-base-uncased"
)
```

The function downloads the specified language model from HuggingFace 🤗 – and transforms the texts into word embeddings, which can be used in other tasks.

Choose from thousands of models in different languages 🇸🇪 🇩🇪 🇮🇹 🇫🇷 🇪🇺 at https://huggingface.co/

#Rstats #NLP #ML
https://r-text.org/

#Rtext #Tootorial 1

The #Rtext package can be installed from #CRAN:

install.packages("text")

The first time (after having installed the package) you have to install and initialize the python environment:

textrpp_install()
# which installs text required python packages (“textrpp”)

textrpp_initialize()
# which initializes the environment

Stay tuned to learn more about the #Rtext package

#Rstats #NLP #ML
#NaturalLanguageProcessing
#MachineLearning
https://r-text.org/

#Introduction
hej, i’m intrigued abt this move 🌌 🪐 .

i’m hoping to connect with those interested in #RStats, #Psychology and #MentalHealth.

i’m a psychology researcher working with computer scientists to develop the r-package {text} (https://r-text.org/) that enables you to use state-of-the-art #NaturalLanguageProcessing and #MachineLearning techniques to analyze natural language data.

i’m planning to share updates we do to the text-package 📦 under #RStats and #Rtext

Peace out ✌️