How accurate is twitter sentiment analysis?

How accurate is twitter sentiment analysis?

For the tweet sentiment analysis, this approach produced an accuracy of 46\% for the tweets. Chance accuracy is 33\%. A little over 15,000 tweets were used.

What is sentiment analysis and how it works?

Sentiment Analysis is a procedure used to determine if a chunk of text is positive, negative or neutral. In text analytics, natural language processing (NLP) and machine learning (ML) techniques are combined to assign sentiment scores to the topics, categories or entities within a phrase.

How do you use sentiment analysis on Twitter data using Python?

We follow these 3 major steps in our program:

1. Authorize twitter API client.
2. Make a GET request to Twitter API to fetch tweets for a particular query.
3. Parse the tweets. Classify each tweet as positive, negative or neutral.

What is polarity in Twitter sentiment analysis?

Sentiment analysis is a method of identifying attitudes in text data about a subject of interest. It is scored using polarity values that range from 1 to -1. Values closer to 1 indicate more positivity, while values closer to -1 indicate more negativity.

What is a sentiment analysis on social media?

Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme. Our net sentiment score and brand passion index show how users feel about your brand and compares across your competitors.

What is social media sentiment analysis?

In social media, sentiment analysis is a form of social listening used to understand the emotion, feeling, or attitude behind a comment online.

Is sentiment analysis useful?

Sentiment Analysis to improve your customer service. As today’s customer service goes far beyond the traditional telephone support agent,it is difficult to maintain excellent customer relationships.

Sentiment Analysis to boost your product and services. Data based strategies always win!

Do better in marketing campaigns.

Monitor your brand perception.

What is aspect based sentiment analysis?

Aspect based Sentiment Analysis is also known as Feature or Attribute based sentence Analysis. Aspect based sentiment analysis is used to analyze different features/attributes/aspects of product. For example smartphones, can have different features like camera, battery life, touch screen etc.