Checking sentiments
When analyzing text data, we may be interested in understanding and analyzing the sentiments conveyed in text. Sentiment analysis helps us to achieve this. It helps to identify the emotional tone expressed within our text. This emotional tone or expressed sentiment is typically classified as a positive, negative, or neutral sentiment. Sentiment analysis is very useful because it typically yields actionable insights about a specific topic that our text covers.
Let’s check out some examples:
- I really like the dress
- I didn’t get value for my money
- I paid for the dress
By analyzing each text, we can easily identify that the first text expresses a positive sentiment, the second expresses a negative sentiment, and the last text expresses a neutral sentiment. In terms of the insights gleaned, the first points to a satisfied customer, while the second points to a dissatisfied customer who likely needs intervention. When performing...
