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Sentiment analysis is the process of detecting positive or negative sentiment in text. It’s often used by businesses to detect sentiment in social data, gauge brand reputation, and understand customers. Since customers express their thoughts and feelings more openly than ever before, sentiment analysis is becoming an essential tool to monitor and understand that sentiment. Automatically analyzing customer feedback, such as opinions in survey responses and social media conversations, allows brands to learn what makes customers happy or frustrated. This helps to tailor products and services to meet the needs of its customers. Sentiment analysis models focus on polarity (positive, negative, neutral) but also on feelings and emotions (angry, happy, sad), urgency (urgent, not urgent) and even intentions (interested v. Not interested). Depending on how you want to interpret customer feedback and queries, you can define and tailor your categories to meet your sentiment analysis needs. There are the following types of analysis – Fine-grained Sentiment Analysis, Emotion detection, Aspect-based Sentiment Analysis, Multilingual sentiment analysis. There are different algorithms you can implement in sentiment analysis models, depending on how much data you need to analyze, and how accurate you need your model to be. Sentiment analysis algorithms fall into one of three buckets – Rule-based, Automatic, Hybrid.

The first slide of the template contains seven categories of user moods. These categories include Bored, Suprised, Worried, Confused, Calm, Good, Happiness. You can use this slide while preparing your social media ad launch marketing strategy. The slides will be useful for marketing managers in their daily work. The second slide allows you to show an analysis of customer attitudes towards various characteristics of your product. For example, you can indicate the number of customers who are not satisfied with the conditions of comfort and food, prices and services. For each product category, you can change the size of the circle. At the bottom of the slide, you can indicate the percentage of satisfied and unsatisfied customers. The third slide allows you to present your customer sentiment analysis results. You can indicate the wishes of customers to improve the product. The last slide contains various infographics. You can indicate the percentage of satisfaction with your product or the number of respondents who participated in the survey. This slide immediately grabs the audience’s attention with its bright and unusual infographics.

Sentiment Analysis template will be primarily useful for advertising and social media professionals. The variety of functional infographics and emoticons makes this template memorable. Your audience will be discussing the topic of your report for a long time. All template elements are easily customizable in size and color. You can easily combine template slides with other slides in your presentations. The template slides can be used by HR professionals to compile a company satisfaction report. Teachers of different courses can include template slides in their presentations. Sentiment Analysis Template will be a worthy addition to your collection of professional presentations.