Support target in sentiment analysis

Author: Julien Salinas

README.md

@@ -301,8 +301,8 @@ The above command returns a JSON object.
 
 Call the `question()` method and pass the following:
 
-1. A context that the model will use to try to answer your question
 1. Your question
+1. (Optional) A context that the model will use to try to answer your question
 
 ```python
 client.question("<Your question>", "<Your context>")
@@ -342,10 +342,13 @@ The above command returns a JSON object.
 
 ### Sentiment Analysis Endpoint
 
-Call the `sentiment()` method and pass the text you want to analyze the sentiment of:
+Call the `sentiment()` method and pass the following:
+
+1. The text you want to analyze and get the sentiment of
+1. (Optional) The target element that the sentiment should apply to
 
 ```python
-client.sentiment("<Your block of text>")
+client.sentiment("<Your block of text>", "<Your target element>")
 ```
 
 The above command returns a JSON object.

nlpcloud/__init__.py

@@ -395,9 +395,10 @@ def sentence_dependencies(self, text):
 
         return r.json()
 
-    def sentiment(self, text):
+    def sentiment(self, text, target=None):
         payload = {
-            "text": text
+            "text": text,
+            "target": target
         }
 
         r = requests.post(

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name='nlpcloud',
-    version='1.1.46',
+    version='1.1.47',
     description='Python client for the NLP Cloud API',
     long_description="NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.\n\nThis is the Python client for the API.\n\nMore details here: https://nlpcloud.com\n\nDocumentation: https://docs.nlpcloud.com\n\nGithub: https://github.com/nlpcloud/nlpcloud-python",
     packages=['nlpcloud'],