Description
This is a scalable, production-ready Stopwords Remover model trained using the corpus available at stopwords-iso.
How to use
documentAssembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols(["document"]) \
.setOutputCol("token")
stop_words = StopWordsCleaner.pretrained("stopwords_iso","ti") \
.setInputCols(["token"]) \
.setOutputCol("cleanTokens")
pipeline = Pipeline(stages=[documentAssembler, tokenizer, stop_words])
example = spark.createDataFrame([["ይቕሬታ፣ ሓደ መደብ ገይረ ኣሎኹ።"]], ["text"])
results = pipeline.fit(example).transform(example)
Results
+---------------------------+
|result |
+---------------------------+
|[ይቕሬታ፣, ሓደ, መደብ, ገይረ, ኣሎኹ።]|
+---------------------------+
Model Information
| Model Name: | stopwords_iso |
| Compatibility: | Spark NLP 3.4.1+ |
| License: | Open Source |
| Edition: | Official |
| Input Labels: | [token] |
| Output Labels: | [cleanTokens] |
| Language: | ti |
| Size: | 2.1 KB |