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Twitter Sentimental Analysis for Social Media
Research
• Hafiz Muhammad Abu Bakar
• Muhammad Faiz Hassan
Supervised By :
Sir Ali Raza
Contents
Sentimental Analysis ?
Sentimental
Analysis
It is classification of polarity of a given text
in the document, sentence or phrase
Twitter Sentiment is difficult compared
to general sentiment analysis due to
presence of slang words and emotions.
Problem
Statement
Sentimental
Analysis
• Our main purpose is to provide a platform
where a person come and find opinion of
people just by writing a specific keyword.
4
Aim
Sentimental
Analysis
• Our aim is to search for the tweets for specific
keyword and then evaluate the polarity of tweets as
positive, negative or neutral.
5
Challenges
Sentimental
Analysis
Tweets are
highly
unstructured and
non-grammatical
Out of
Vocabulary
Words
Lexical Variation
Extensive usage
of acronyms like
ASAP LOL
Procedure
Sentimental
Analysis
Twitter Api Data Streaming
Preprocessing steps
• Filtering
• Tokanization.
• Removal of Stop words
Applying Desired
classification
Algorithm to Classify
the Tweets
Tweet Classified as
Positive, Negative
and neutral
Tools Used
Sentimental
Analysis
Twitter Api
Python
Tweepy
TextBlob
Thank you
Q/A

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Twitter Sentimental Analysis