Introduction to Sentiment analysis using PHP language
Are you emotionally intelligent? Do you struggle to understand human emotions? Its quite difficult for brands to understand customer views and opinions expressed on social media platforms such as Twitter. Sentiment analysis has simplified the way we understand our customer opinions and we can use this analysis to respond to our customers
It is a statistical method of identifying whether a certain word is positive, negative or neutral. The sentiment may be polarized or valance based. Polarized based is used to categorize whether a piece of text is positive, or negative while in valance based, the intensity of the text is emphasized. For example, good and great are positive sentiments and would be treated equally in Polarized based while great will be treated as more positive in valance based.
VADER Sentiment Analysis
VADER (Valence Aware Dictionary and Sentiment Reasoner) is a sentiment analysis tool based on lexicons of words and not only does it classify a word as either positive or negative but also the intensity of its positivity or negativity.
We will use a PHP package called PHP Sentiment Analyzer.