Sentiment Analysis in Text

Polarity detection is a key component of text-based Sentiment Analysis, categorising text into “positive”, “negative”, or “neutral”. This process is crucial for monitoring consumer sentiments and public opinions on a wide range of topics. Insights gleaned from opinion mining help businesses gauge consumer affinity towards brands, products, or services.

However, analysts must remain wary of potential biases or representational issues inherent in social media platforms and datasets. As mentioned in the Section Limitations of Social Media Data, individuals who are most vocal online tend to have strong opinions that may not represent the broader population. Additionally, the influence of echo chambers, herd mentality, and marketers with vested interests can distort the authenticity of the conversations.