Fake News Classifier

Description

Determine if news articles are Real or Fake.

Predicted Entities

REAL, FAKE

Live Demo Open in Colab Download

How to use

document_assembler = DocumentAssembler()\
.setInputCol("text")\
.setOutputCol("document")
use = UniversalSentenceEncoder.pretrained('tfhub_use', lang="en") \
.setInputCols(["document"])\
.setOutputCol("sentence_embeddings")
document_classifier = ClassifierDLModel.pretrained('classifierdl_use_fakenews', 'en') \
.setInputCols(["document", "sentence_embeddings"]) \
.setOutputCol("class")
nlpPipeline = Pipeline(stages=[document_assembler, use, document_classifier])
light_pipeline = LightPipeline(nlp_pipeline.fit(spark.createDataFrame([['']]).toDF("text")))
annotations = light_pipeline.fullAnnotate('Donald Trump a KGB Spy? 11/02/2016 In today’s video, Christopher Greene of AMTV reports Hillary Clinton')
val documentAssembler = DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val use = UniversalSentenceEncoder.pretrained(lang="en")
.setInputCols(Array("document"))
.setOutputCol("sentence_embeddings")
val document_classifier = ClassifierDLModel.pretrained("classifierdl_use_fakenews", "en")
.setInputCols(Array("document", "sentence_embeddings"))
.setOutputCol("class")
val pipeline = new Pipeline().setStages(Array(documentAssembler, use, document_classifier))

val data = Seq("Donald Trump a KGB Spy? 11/02/2016 In today’s video, Christopher Greene of AMTV reports Hillary Clinton").toDF("text")
val result = pipeline.fit(data).transform(data)
import nlu

text = ["""Donald Trump a KGB Spy? 11/02/2016 In today’s video, Christopher Greene of AMTV reports Hillary Clinton"""]
fake_df = nlu.load('classify.fakenews.use').predict(text, output_level='document')
fake_df[["document", "fakenews"]]

Results

+--------------------------------------------------------------------------------------------------------+------------+
|document                                                                                                |class       |
+--------------------------------------------------------------------------------------------------------+------------+
|Donald Trump a KGB Spy? 11/02/2016 In today’s video, Christopher Greene of AMTV reports Hillary Clinton | FAKE       |
+--------------------------------------------------------------------------------------------------------+------------+

Model Information

Model Name: classifierdl_use_fakenews
Compatibility: Spark NLP 2.7.1+
License: Open Source
Edition: Official
Input Labels: [sentence_embeddings]
Output Labels: [class]
Language: en
Dependencies: tfhub_use

Data Source

This model is trained on the fake new classification challenge. https://raw.githubusercontent.com/joolsa/fake_real_news_dataset/master/fake_or_real_news.csv.zip

Benchmarking

precision    recall  f1-score   support

FAKE       0.86      0.89      0.88       626
REAL       0.89      0.86      0.87       634

accuracy                           0.87      1260
macro avg       0.88      0.87      0.87      1260
weighted avg       0.88      0.87      0.87      1260