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u Rasa: Rasa is mainly used for building chatbots but offers no-code
interface functionalities for designing and deploying conversation
flows and understanding intents.

u RapidMiner: RapidMiner is a data science platform that includes a
variety of NLP capabilities and integrates visual programming for data
mining and analysis.

u Orange Data Mining: Orange Data Mining also supports Natural
Language Processing (NLP) tasks through its flexible environment,
offering various tools for text analysis and manipulation. By providing
dedicated add-ons, users can perform tasks such as tokenization, text
classification, and sentiment analysis.

Build an AI model to predict the sentiment in Orange Data Mining

Step 1: Download the dataset from the following link: https://drive.google.com/drive/folders/1uq-DG6GOAij_
gHHfzJMhbKluW8GdAd1H?usp=drive_link

Step 2: Define the problem by predicting the sentiments from the dataset like:
Sentiment Meaning
Positive score Positive review
Negative score Negative review
Neutral Score Neutral review
Total sentiment of the review i.e., -1 means
Compound score
most negative, 1 means most positive
Step 3: Open the Orange Data Mining tool and drag the File icon on the Canvas. After that, double-click the File
icon and import the xls file or the dataset in the corpus as shown.

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