ochanyo/Facebook-Sentiment-Analysis

Sentiment analysis also known as 'opinion mining' is the ability to classify opinions expressed in text and determine whether authors attitude is positive,neutral or negative. This classification is vital as it helps make brand decisions and build brand reputations over time. It also helps monitor customer feedback,brand and brand campaign. In this case we will use facebook comments attributed to Ponea Health account and products offered by Ponea Health. We will attempt to use both the three and five point ordinal scales to classify the comments. Since sentiment analysis involves natural language processing we will download and import python libraries to be used.

This repository is not active