This projects aims to determine the sentiment strength from the analysis of textual source to make better decision. This work focuses on application of sentiment analysis to customers reviews of top African FinTech product apps through their reviews from Google play store.
## SENTIMENT ANALYSIS OF CUSTOMER'S REVIEWS ON TOP FINTECH COMPANIES PRODUCTS
## INTRODUCTION
In everyday life, companies(technical and non-technical) and start-ups release products of different categories for consumer's benefits. Selection of one or more of these products are accompanied by the experience and feedbacks of the earlier users. Early adopters justify their experience with reviews and tweets on the social media, and also ratings. Ratings can be easily sorted and judged as its scaled. But reviews and tweets are texts, positive or negative, which will requires thorough reading for the message to be conveyed to the developer of the products.
With the advent of a branch of Artificiial Intelligence, Natural Language Processing (NLP), its tools, algorithms and its implemention has helped companies to lessen and ease the task of analyzing the corpus to make better decisions, corrections and improved their products and servivces.
## UNDERSTANDNG THE PROBLEM STATEMENT
The first step in any machine learning task is understanding the problem statement, So that's what we aim to do here.
FinTech (financial Technology) is catch-all term referring to software, mobile applications and other technologies created to provide and improve financial solutions to businesses and consumers, automate traditional forms of finance and guide its users to making better decisions in their finances.
FinTech has had enormous impact over the years with firms doing a great job to provide big improvement in services rendered to customer.
I am a big fan of FinTech, and I have seen complaints and feedbacks on social media and also reviews from Google App Playstore which depicts the experience from users of these tech services .
These feedbacks and revews are essential to detect and understand customer feelings, generate insights into how companies make decision to enhance customer experience and improve their services.
## SENTIMENT ANALYSIS
Sentiment analysis (or opinion mining) is a …