Abstract
In modern times every Instagram profile needs to insert hashtags on the platform to target his audience and improve the performance of its growth; to look for the right hashtags to insert it is often difficult and very time-consuming and here it is where Artificial Intelligence comes in. This thesis is aimed to practically demonstrate how an A.I. system can be easily implemented in any business to solve a common problem like the “Hashtag generation for Instagram” in a smart and efficient way.INTRODUCTION
A.I. In The Business World
Nowadays artificial intelligence and machine learning systems are gaining more and more ground in the business world. Whatever sector your business operates you can have already heard about these words and you probably could implement them into your activity. Artificial Intelligence has become an important area of research in all fields: Engineering, business, science, medicine, finance,stock market, marketing etc... The range of AI has grown enormously since the intelligence of machines with machine learning capabilities has created profound impacts on business, governments, and society. These new emerging technologies are revolutionizing our lives and changing the way we live, improving more and more the human-machine interaction and creating the so-called industry 4.0. Google street mapping, self-driving car of Tesla, estimate price of Uber, friends suggestions on Facebook and correlated goods on Amazon are just some of the plenty examples about how artificial intelligences are designing new strategies and creating new resources for nowadays businesses. All the companies in the most heterogeneous fields are implementing these technologies to keep up with the competitors and world leaders, transforming themselves into AI companies. Many tasks and logical problems can be solved using algorithms and A.I. based solutions, saving companies money and precious time; very often even the amount of human work can be reduced or completely canceled using artificial intelligence and this is the reason why everyone should know how they work.
A.I. Based Hashtag Generation
An example of tech companies operating with artificial intelligence tools are social media agencies. Agencies that operate on the web and deal with the most famous social media platforms such as Instagram, Facebook and Youtube. These platforms themselves use countless artificial intelligence applications and machine learning systems to improve their performance through the analysis of data provided by users. A like, a hashtag and geographical position are just some of the parameters that are provided to the A.I. to segment and classify user profiles. In recent years, AI - based tools are taking over for the resolution of any micro-problems present online: scraping the web, sentiment analysis, consumer insights, chat botting etc … The generation of hashtags is a very common problem for all social media agencies that need to carefully select them for their clients or themselves. They are the tags that are used to identify and connect the content on social networks with a topic, a community or a topic and are represented by a word preceded by the symbol "#"; they also make it easier to discover new posts around those specific topics, because hashtags aggregate all social media content with that same hashtag [10]. Each social media account, in order to grow and gain followers, needs to find the right hashtags for his content and that is why they rely on social media experts or agencies because it is quite a difficult and very time consuming task. A good hashtag implies that all the people that will look for that kind of content discovering posts in that hashtag will find the one published by the interested profile and it will gain visibility and traffic from new audiences. It is important to consider that in addition to consistency with the published content, it is necessary to analyse how many times the selected hashtag has already been used by users; because for example, if you use very popular and generic hashtags such as "#love" containing millions of publications and thousands of new ones every day, the chances that the profile "shows up" among those results are very low. For this reason, the ideal hashtag must have a range of publications and "use" in proportion to the popularity of the profile itself. In addition the artificial intelligence systems implemented by the platform itself will identify and classify your content associating it with your hashtag, so the algorithm of the platform will understand that your profile operates in that specific niche and being classified on social media is always a strength for your profile because the algorithm of the platform will show it to users with similar characteristics and tastes. It is clear enough that ensuring the best hashtags is fundamental for any Instagram profile, either private or business one; in a situation like the problem results as a very logical and time consuming one and here it is where Machine Learning comes in. In the first chapter there is an introduction to how Artificial intelligence systems are changing the business world and how the problem of hashtag generation can be solved through A.I. In the following chapter 2 we will start with an overview of the world of artificial intelligence, algorithms and their different categories and then go into the details of their mechanisms and applications. In chapter 3 we will see a practical example of artificial intelligence implementation to solve the specific problem of how to automatically generate the right hashtag for an Instagram profile that wants to share a photo examplaning the code and the process behind it. In the end, the last chapter will draw conclusions about the project, explain the pros and cons about A.I. business applications and how this project could be optimized and not only used for a single company but converted into a marketable product to make profit on it.
ARTIFICIAL INTELLIGENCE LEARNING SYSTEMS
Overview
These new technologies have almost become a trend to follow and implement in your business a priori so much that not all companies have a clear idea about the true meaning and the difference between Artificial Intelligence and Machine Learning systems; in fact many companies are claiming that they have Machine Learning Systems implemented in their softwares while in reality it is not so, also because being a relatively recent subject, it is in continuous development and does not have any official reference.
Traditional Programming
Machine Learning
Deep Learning
1. Overview
2. The Perceptron
3. Logical Gates with Perceptron
Neural Network General Applications
Image Recognition With Convolutional Neural Networks
1. Image Recognition In Computer Vision
2. Convolutional Neural Networks
3. How patterns and filters work
The Role Of Data In A.I.
HASHTAG GENERATION
Introduction to the problem
Overview of the solution
Code Explanation: Step By Step
1. Image Recognition And Image Labeling
2. Hashtag Research With Web Scraping
Output Examples and Comments
CONCLUSIONS
Conclusion about the work
Future work
Strength And Weakness Of Artificial Intelligence
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