[Solved] Why does this multilingual sentiment analysis code raise an error?... Why does this multilingual sentiment analysis code raise an error? | NLP

NLP - Sentiment Analysis Advanced

Why does this multilingual sentiment analysis code raise an error? ```python from transformers import pipeline sentiment = pipeline('sentiment-analysis', model='nlptown/bert-base-multilingual-uncased-sentiment') result = sentiment(12345) print(result) ```

AInput must be a string, not an integer

BModel does not support numeric inputs

CPipeline type is incorrect

DMissing tokenizer initialization

Step-by-Step Solution

Solution:

Step 1: Check input type requirements
Sentiment analysis pipelines expect text strings as input, not integers.
Step 2: Analyze error cause
Passing an integer causes a type error; model and pipeline are correct; tokenizer is auto-initialized.
Final Answer:
Input must be a string, not an integer -> Option A
Quick Check:
Input type must be string [OK]

Quick Trick: Always input text strings to sentiment pipelines [OK]

Common Mistakes:

MISTAKES

Passing numbers instead of strings
Assuming model rejects numbers specifically
Thinking tokenizer must be manually loaded

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Why does this multilingual sentiment analysis code raise an error?

Step 1: Check input type requirements

Step 2: Analyze error cause

Final Answer:

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