@@ -43,10 +43,10 @@ We chose the Student essay corpus as our data set. The dataset is provided by th
## Tools
#### ConceptNet
> ConceptNet is a freely-available semantic network, designed to help computers understand the meanings of words that people use
ConceptNet originated from the crowdsourcing project Open Mind Common Sense, which was launched in 1999 at the MIT Media Lab. It has since grown to include knowledge from other crowdsourced resources, expert-created resources, and games with a purpose. ~ quoted from [here](https://conceptnet.io/)
ConceptNet originated from the crowdsourcing project Open Mind Common Sense, which was launched in 1999 at the MIT Media Lab. It has since grown to include knowledge from other crowdsourced resources, expert-created resources, and games with a purpose. ~ quoted from [conceptnet](https://conceptnet.io/)
#### OpenFraming
> OpenFraming can perform two types of computational framing analysis: 1) unsupervised topic modeling based on Latent Dirichlet Allocation (LDA; Blei et al. (2003)), and 2) supervised learning using deep neural network Bidirectional Encoder Representations from Transformers (BERT; Devlin et al. (2018)) ~ quoted from [here](https://arxiv.org/pdf/2008.06974.pdf)
> OpenFraming can perform two types of computational framing analysis: 1) unsupervised topic modeling based on Latent Dirichlet Allocation (LDA; Blei et al. (2003)), and 2) supervised learning using deep neural network Bidirectional Encoder Representations from Transformers (BERT; Devlin et al. (2018)) ~ quoted from [openframing](https://arxiv.org/pdf/2008.06974.pdf)
## Goals
The aim of the project is to develop a method with which human needs can also be assigned to argumentative texts and thus to carry out a meaningful analysis.
