What is Twitter Sentiment Analysis?
Can anyone explain to me what is Twitter sentiment analysis in layman's term?
Twitter has more than 350 million active monthly users, allowing organizations to reach a large number of consumers and have direct communication with them. A single tweet has such a profound impact that it can make or break a company's reputation that's why using a sentiment analysis tool like Bytesview is crucial for them. Social media monitoring has become a key strategy for them as it allows them to understand emotions in any conversations on social media platforms. To gain useful insights, identify, collect, and analyze social media data, a sentiment analysis solution can be used to determine the sentiment of any social media event. I hope my answer helped you.
Sentiment analysis refers to identifying as well as classifying the sentiments that are expressed in the text source. Tweets are often useful in generating a vast amount of sentiment data upon analysis. These data are useful in understanding the opinion of the people about a variety of topics. MI Bridges
Sentiment analysis basically studies the subjective information in an expression that is the opinions, emotions or attitudes towards a topic, person or entity. This sentiment is further quantified with a positive, negative or neutral value, called polarity. Based on the polarity the overall sentiment is inferred as positive, negative or neutral. This polarity is calculated based on the number of positive/negative words. In the context of Twitter, sentiment analysis quantifies the mood of a tweet by counting the number of positive/negative words. For example: Positive - My experience so far has been fantastic. Negative - Your support team is useless. Neutral - The product is ok I guess.