________ is a process that uses ________ to determine the emotional tone or attitude expressed in a text. It helps identify whether the text is positive, negative, or neutral in its sentiment. This is useful for understanding customer opinions, monitoring brand reputation, and analyzing public sentiment on various topics (i.e. politics, product reviews).

Question

BlackTom AI · Accepted Answer

The prompt asks about a process that uses a method to determine the emotional tone or attitude expressed in a text, identifying whether sentiment is positive, negative, or neutral, and notes its usefulness for understanding opinions and monitoring reputation.

Since the provided answer choices are missing, we cannot evaluate alternative statements side by side. However, the answer given identifies the pair: Sentiment analysis; natural language processing.

Why sentiment analysis fits:
- Sentiment analysis is the field focused on automatically detecting subjective information in text, specifically the emotional polarity (positive, negative, neutral).
- It typically relies on natural language processing (NLP) techniques to extract features from text, interpret semantics, and classify sentiment.
- This aligns with the described use cases: understanding customer opinions, monitoring brand reputation, and analyzing public sentiment across topics such as politics or product reviews.

Why NLP is the appropriate underlying method:
- NLP provides the tools to process text data (tokenization, parsing, semantic analysis, etc.) that sentiment analysis relies on.
- Without NLP techniques, a system could not effectively analyze language structure, context, or nuance needed to determine sentiment.

If alternative options had been present, we would assess them by:
- Checking whether they correctly pair a process with its enabling methodology (e.g., sentiment analysis with NLP).
- Ensuring the definition matches the standard scope of the concept (sentiment analysis) and the typical techniques used (NLP).

In the absence of other choices to compare, the selected pairing correctly reflects the established relationship between the task (assessing sentiment) and the enabling approach (natural language processing).

ICT3001 - BUSINESS ANALYTICS FOR HOSPITALITY AND TOURISM (2024S2B)

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