About The Models

README.md

@@ -6,7 +6,7 @@ In this work we explore the use of **Machine Learning** techniques to infer **pe
 
 For **personality recognition**, the models were trained for each of the five personality traits, given by the **Big-5** personality classification, using **LIWC** (Linguistic Inquiry and Word Count) characteristics and were compared different classification methods, such as *Logistic Regression, RandomForestClassifier, Mul tinomialNB, GradientBoostingClassifier, SVC, LinearRegression, Ridge,SGDRegressor*; the performance of the systems was measured using precision.
 
-#### Requeriments
+### Requeriments
 Run the following commands if you don't have them already:
 
 ```
@@ -31,3 +31,18 @@ pip install requeriments.txt
 ### Documentation
 For a more in-depth documentation read [here](https://github.com/dayfundora/Personality-Type/blob/9b1755003480280821d40af5041032f1e07a854c/doc/report.pdf)
 
+### Download
+If you want to download this project to work on it, you will need the models for each aspect of the personality, both for LIWC and TFIDF.
+```
+AGR_categorical_model_liwc.pkl
+AGR_categorical_model_tfidf.pkl
+CON_categorical_model_liwc.pkl
+CON_categorical_model_tfidf.pkl
+EXT_categorical_model_liwc.pkl
+EXT_categorical_model_tfidf.pkl
+NEU_categorical_model_liwc.pkl
+NEU_categorical_model_tfidf.pkl
+OPN_categorical_model_liwc.pkl
+OPN_categorical_model_tfidf.pkl
+```
+You can send me an email [here](mailto:[email protected]) or write me [here](t.me/AGirlHas_No_Name)