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Papers tagged with "Twitter Data"
TweetSense: Emotion Detection From Twitter Data Using Natural Language Processing
This Research Investigates The Application Of Natural Language Processing (NLP) Models For Sentiment Analysis Of Twitter Data, A Domain That Has Gained Immense Importance In The Era Of Digital Communication.[1] Twitter, As A Microblogging P...
SENTIMENTAL ANALYSIS OF POLITICAL TWEETS IN TWITTER USING MACHINE LEARNING ALGORITHM
Sentiment Analysis Is An Area Of Research That Analyzes Opinions, Sentiments, Evaluations, Attitudes, And Emotions From A Written Text. The Feelings And Emotions Of People Have A Key Effect In Our Day By Day Process. Especially Social Media...
A SURVEY ON “CITIZEN OPINION MINING INITIATIVES IN GOVERNMENT DECISION MAKING”
Opinion Mining Is A Type Of Natural Language Processing For Finding The Mood Of The Public A Couple Of Targeted Government Policy. Opinion Mining Techniques Can Be Used For Measuring Influence Facts Like Citizen Behavior, Desire, Needs That...
CERTAIN INVESTIGATIONS IN TEXT MINING WITH RESPECT TO ABNORMAL USER BEHAVIOUR USING SEQUENTIAL TOPIC PATTERNS
The Executions Conducted Under The Title Of Mining User Aware Rare Sequential Topic Patterns In Document Streams Had To Take Care Of Datasets Of Tweets Which Was Collected In Large Quantities By Using Twitter API. It Carry Out The Extractio...
A Survey Paper on Social Media E-Customers’ Behavior Mining
As Nowadays, Social Media Has Become An Important Source Of Information, Where People Can Express Their Opinions And Their Views.To Analyze Social Media Data Of E-customer’s There Isneed To Extract Information For Making Predictions Of...