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Sentiment Analysis in NLP focuses on determining the sentiment expressed in a piece of text, classifying it as positive, negative, or neutral. This task is crucial for understanding opinions and emotions in customer reviews, social media posts, and survey responses. Sentiment analysis employs machine learning algorithms and natural language processing techniques to interpret subjective data. Other NLP tasks, such as tokenization and lemmatization, deal with breaking down text or simplifying it, while sentiment analysis specifically evaluates the emotional tone.
A train can cross a pole in 48 seconds. While if the train increased its speed by 50% then time taken by it to cross 225 metres long platform is 42 seco...
The Plantation Labour Act, of 1951 applies to plantations employing how many or more workers?
Chairperson and members of the State Human Rights Commission are appointed by the Governor on the recommendations of a committee. Who of the following ...
Which of the following statements about Preamble is correct?
Consider the following statements regarding Bonds and Debentures:
1. Bonds are debt financial instruments issued by large corporations, financi...
Sugar worth ₹55 per kilogram and ₹60 per kilogram are mixed with a third variety in the ratio 4 : 3 : 5. If the mixture is worth ₹65 per kilogram,...
There are five numbers ‘a’, ‘b’, ‘c’, ‘d’ and ‘e’. The average of ‘b’ and ‘c’ is 390. The value of ‘a’ is 40 m...
“National Science Day” is celebrated on :
Which of the following convention/s of International labour organization is/are not ratified by India?
I. Fr...
With reference to ‘fuel cells’ in which hydrogen-rich fuel and oxygen are used to generate electricity, consider the following statements :
(...