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Anne Lorenz 2018-10-18 22:17:51 +02:00
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@ -7,12 +7,12 @@ The csv file *classification_labelled_corrected.csv* contains 1497 labeled news
**Best F1 score results**:
* **Support Vector Machines Classifier (SVM):**
F1 score: 0.8944166649330559
F1 score: 0.894
Best parameters set found on development set:
{'SVC\__C': 0.1, 'SVC\__gamma': 0.01, 'SVC\__kernel': 'linear', 'perc\__percentile': 50}
* **Naive Bayes Classifier**:
F1 score: 0.8324014738144634 (average)
F1 score: 0.832 (average)
Parameters: SelectPercentile(25), own Bag of Words implementation, 10-fold cross validation
The complete documentation can be found in the latex document in the *thesis* folder.
@ -35,7 +35,7 @@ The scripts can be called separately.
You need to enter a valid personal key for *webhose.io* before you call *Requester.py*.
To run *NER.py* you need to change the path to the JAVAHOME environment variable in *find_companies* method.
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**Author:** Anne Lorenz / Datavard AG
**Project Status:** work in progress