100 Best Sentiment Analysis Videos


Sentiment analysis, also known as opinion mining, is the process of identifying and extracting subjective information from text or other forms of data. It involves analyzing the language and tone of a piece of text to determine the overall sentiment or emotion that is being expressed.

There are several ways that sentiment analysis can be performed, but one common approach is to use natural language processing (NLP) techniques to identify and classify words or phrases that are associated with particular emotions or sentiments. For example, words like “happy,” “excited,” and “thrilled” might be classified as positive, while words like “sad,” “angry,” and “depressed” might be classified as negative.

Once the sentiment of individual words or phrases has been identified, the overall sentiment of a piece of text can be determined by analyzing the overall balance of positive and negative words or phrases. For example, if a piece of text contains more positive words than negative words, it might be classified as having a positive sentiment.

Sentiment analysis is often used in a variety of applications, including social media analysis, customer service, and market research. It can provide valuable insights into the opinions and emotions of people, and can be used to help understand and respond to customer needs and preferences.


See also:

Sentiment Analysis & Dialog Systems 2017Sentiment Analysis Tools (Open Source) & Dialog Systems

[41x Apr 2018]