Social Media Personal Event Notifier Using NLP and Machine Learning Pavithiran Ganeshkumar

2025-05-03 0 0 360.05KB 4 页 10玖币

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Social Media Personal Event Notifier Using

NLP and Machine Learning

Pavithiran Ganeshkumar

Department of Computer Science and Engineering

Panimalar Institute Of Technology

Chennai, Tamil Nadu, India

pavithiran.nasa@gmail.com

Sharan Padmanabhan

Department of Computer Science and Engineering

Panimalar Institute Of Technology

Chennai, Tamil Nadu, India

sharanmozart@gmail.com

Ashwin Kumar BR

Department of Information Technology

Panimalar Institute Of Technology

Chennai, Tamil Nadu, India

ashwinkumarbr27@gmail.com

Vetriselvi A

Department of Computer Science and Engineering

Panimalar Institute Of Technology

Chennai, Tamil Nadu, India

vetriselviayyachami@gmail.com

Abstract—Social media apps have become very promising

and omnipresent in daily life. Most social media apps are used

to deliver vital information to those nearby and far away. As

our lives become more hectic, many of us strive to limit our

usage of social media apps because they are too addictive, and

the majority of us have gotten preoccupied with our daily lives.

Because of this, we frequently overlook crucial information,

such as invitations to weddings, interviews, birthday parties,

etc., or find ourselves unable to attend the event. In most cases,

this happens because users are more likely to discover the

invitation or information only before the event, giving them

little time to prepare. To solve this issue, in this study, we

created a system that will collect social media chat and filter it

using Natural Language Processing (NLP) methods like

Tokenization, Stop Words Removal, Lemmatization,

Segmentation, and Named Entity Recognition (NER). Also,

Machine Learning Algorithms such as K-Nearest Neighbor

(KNN) Algorithm are implemented to prioritize the received

invitation and to sort the level of priority. Finally, a customized

notification will be delivered to the users where they

acknowledge the upcoming event. So, the chances of missing the

event are less or can be planned.

Keywords—Natural Language Processing (NLP), Named

Entity Recognition (NER), K-Nearest Neighbor (KNN), Machine

Learning, Web Scraping.

I. INTRODUCTION

Communication entails more than mere transmission of

information. It also entails communicating messages and

critical events in various ways, such as verbal

communication, nonverbal communication, or visualizations

[1]. Nowadays, people communicate more on mobile devices

through social media platforms. Social media helps people

connect, socialize, and stay informed about current events in

an age where technology is dominant. Today's users (people)

use social media to communicate their feelings, organize

events, form meaningful connections with others, know

about significant events, and stay informed (what is

happening in daily life). Despite their love for social media,

many users struggle to find the time to use these platforms.

As a result, people miss important events and meetings

that others have posted and arranged, which influences their

personal or professional lives.

In general, we see tons of messages such as news,

schedule dates, simple chat communications, or business

advertisement messages that are constantly popping up on

the notification bar. They urge people and exasperate them

to check the overall messages alone and sometimes ignore

them. Thus, people tend to lose important dates, which are

memorable and important meetings or schedules. Providing

preference to specific messages helps the user to get well

informed about important future events. It even maintains a

live update on previous events and meetings.

Meetings and events are important aspects of social and

commercial life. Meetings and events, whether they be

personal or professional, frequently determine a person's

destiny. Given its significance, this must be treated seriously

by emphasizing specific messages when communicating [2].

This study focuses on the solution to the aforementioned

problem by creating an autonomous system that can notify

the user of critical event changes [3]. The data is first

obtained from the social media application (scraping social

media data). Natural Language Processing (NLP) techniques

are then applied to analyze the collected information from the

text file and identify all of its important properties. These

results are examined by the machine learning model for event

prioritization [4]. Finally, based on the prioritized

information, the user will receive a custom notification that

will be displayed and pinned until the user acknowledges it.

II. LITERATURE SURVEY

Over the past 20 years, information and communication

technology has undergone a fast transformation, with the

development of social media being a huge step forward. The

rate of change is quickening. For instance, the development

of mobile technology has a tremendous impact on social

media influence. Globally, mobile devices account for the

vast majority of internet time. They give everyone access to

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SocialMediaPersonalEventNotifierUsingNLPandMachineLearningPavithiranGaneshkumarDepartmentofComputerScienceandEngineeringPanimalarInstituteOfTechnologyChennai,TamilNadu,Indiapavithiran.nasa@gmail.comSharanPadmanabhanDepartmentofComputerScienceandEngineeringPanimalarInstituteOfTechnologyChennai,TamilN...

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Social Media Personal Event Notifier Using NLP and Machine Learning Pavithiran Ganeshkumar

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