APPLICATION OF NLP TECHNIQUES TO ANALYSE SENTIMENT AND EMOTION ON SOCIAL MEDIA DATA
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style: APA
- Recommended for : Student Researchers
- NGN 3000
ABSTRACT
This study examined the application of NLP Techniques to analyse sentiment and emotion on social media data. Sentiment analysis has proven to be one of the most challenging tasks in natural language processing (NLP). Many AI systems have been developed which can detect the polarity of a sentence (degree of positivity, neutrality or negativity). But more information such as the emotion of the author can be detected. Our task here is to build an artificial agent – or an AI system – that is capable of detecting polarity in a document as well as the emotion of the author. Generally speaking, sentiment analysis detects the polarity of the opinion based on the object/subject in discussion. But emotion detection can identify the particular “mood” of the author. Social platforms – such as Facebook, Twitter, IMDB, or comment sections from online newspapers – to name a few – can provide a huge corpus of – usually unlabeled or extremely sparsely labelled – content. Using modern machine learning tools and the available computational power, an agent can analyze the content – given usually as a list of messages – and detect the general emotion “within the message”. It must be capable of identifying subjects with unstable or “chaotic” mood that might require attention. Our aim is to attempt detecting the underlying emotion as well as the polarity of a document. In this process we will make use of open source libraries and publicly available data sets. The program will be able to run locally, both in geographic and in cultural sense, and to analyze the results that were obtained.
Related Project Materials
UPWARD CONTINUATION AND SPECTRAL ANALYSIS OF AEROMAGNETIC SIGNATURES OVER KALTUNGO AREA AND SURROUNDING CRETACEOUS SEDIMENTS, NORTHEASTERN NIGERIA
ABSTRACT
The methods of Upward Continuation and Statistical Spectral Depth Analysis were applied on Aeromagnetic data over Kaltungo Area...
THE IMPACT OF DIGITAL TECHNOLOGIES ON BUSINESS MODELS
THE IMPACT OF DIGITAL TECHNOLOGIES ON BUSINESS MODELS
This research aims to: (1) investigate how digital technologies are reshaping busin...
DESIGN AND IMPLEMENTATION OF FACE DETECTION AND RECOGNITION SYSTEM
INTRODUCTION
Face recognition system is an application for identifying someone from image or videos. Face recognition is...
PSYCHOACTIVE SUBSTANCE USE AMONG PSYCHIATRIC OUTPATIENTS OF A TERTIARY HOSPITAL IN NIGERIA
ABSTRACT
Psychoactive substances and mental illness is a common comorbidity with poor treatment outcome on patients in some parts of the...
DISTANT MARRIAGE AND FAMILY COHESION AMONG YOUNG COUPLES
Background of the study
Marriage, which incorporates the coupling of two individuals having various int...
ACTIVITIES AND PARTICIPATION OF VIGILANTE GROUP IN MANAGING YOUTH RESTIVENESS IN ZONE B OF NIGER STATE
ABSTRACT
This study was carried out to examine the activiti...
AN ASSESSMENT OF SOCIO -ECONOMIC COMPONENTS AND ITS IMPACT ON LOAN REPAYMENT AMONG COOPERATIVES VENTURES IN CALABAR METROPOLIS
Background Of Study
It is impossible to overstate the importance of funds to any firm, whether private...
ASSESSMENT OF NUTRITIONAL AND PHYSICAL CHARACTERISTICS OF MAIZE (Zea Mays) STORED IN METALLIC SILOS
ABSTRACT
The magnitude of deterioration of maize (Zea Mays) in storage and storage losses recorded globally is worrisome especially in th...
AN ANALYSIS OF COMPUTER-ASSISTED INSTRUCTION AND ITS EFFECTS ON ACADEMIC ACHIEVEMENT AMONG NCE PHYSICS STUDENTS OF DIFFERENT ABILITIES
Background to the study
The world is growing increasingly technologically advanced. The industrial period gave rise to t...
CORPORATE SOCIAL RESPONSIBILITY: A NECESSITY TO NIGERIA BUSINESS ORGANIZATIONS
ABSTRACT
The concept corporate social responsibility has generated a lot of controversy over the years. While some execu...
