I don't see any reason why you couldn't. You could use the Python tiles to create a custom model or leverage built-in libraries. Use Domo's social media connectors to pull comments or posts to Domo or call with API. Or consider using Domo's Jupyter Notebooks (Python).

Something like this

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import pandas as pd


# Load the dataset
df = pd.DataFrame(input_data)


# Initialize VADER
analyzer = SentimentIntensityAnalyzer()


# Analyze sentiment
def analyze_sentiment(comment):
    scores = analyzer.polarity_scores(comment)
    return scores['compound']


# Apply sentiment analysis to comments
df['sentiment_score'] = df['comment'].apply(analyze_sentiment)


# Label sentiment as Positive, Neutral, or Negative
def label_sentiment(score):
    if score > 0.05:
        return 'Positive'
    elif score < -0.05:
        return 'Negative'
    else:
        return 'Neutral'

df['sentiment_label'] = df['sentiment_score'].apply(label_sentiment)

output_data = df