UiPath Tutorial | SentimentAnalysis - Feedback Data Extraction
SentimentAnalysis Model (Not Retrainable): It predicts the sentiment of a text in English Language. Possible predictions are one of \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". The model was trained on amazon product review data thus, the model predictions may have some unexpected results for different data distributions.
Input: We have pass the "Input text/data" to test the Predictions
Output: JSON with class name and confidence on that class prediction (between 0-1) Class prediction can be one of: "Very Negative", "Negative", "Neutral", "Positive", "Very Positive" For example: '{"sentiment": "Very Negative", "confidence": 0.97}'
SentimentAnalysis Model - Not Retrainable.
[Note: We can't pass the Train & Test Dataset for this Model]
Prerequisite: Package used in SentimentAnalysis
UiPath.MLServices.Activities
Test Site: "https://www.tripadvisor.in/Hotel_Revi..."
• Feedback Data Extraction - We used to launch the site & gather the feedback as a Datatable and store it into an spreadsheet.
Happy Learning !!
