import tweepy
client = tweepy.Client("AAAAAAAAAAAAAAAAAAAAADo3VgEAAAAABFikcei01a1Jc4w%2FxUXvIUJk1lo%3DiCCVn0ZkiX2YAmYqEs9j")
tweets = []
for tweet in tweepy.Paginator(client.search_recent_tweets, "coding",
max_results=100).flatten(limit=5000):
tweets.append(tweet.text)
import re
import seaborn as sns
import collections
import pandas as pd
import matplotlib.pyplot as plt
sns.set(rc={'figure.figsize':(11.7,8.27)})
tokenised_tweets = [token for tweet in tweets for token in tweet.split(' ')]
hashtags = [token for token in tokenised_tweets if re.match('#\w{2,}', token) != None ]
lowercase_hashtags = [x for x in map(lambda x: x.lower(), hashtags)]
data = dict(collections.Counter(lowercase_hashtags))
series_df = pd.Series(data).sort_values(ascending=False)
TOP_N = 20
sns.barplot(y=series_df.keys()[:TOP_N], x=series_df.values[:TOP_N]).set_title("Trends in Hashtags")
from textblob import TextBlob
sentiments = []
for tweet in tweets:
blob = TextBlob(tweet)
sentiments.append(blob.sentiment.polarity)
sns.histplot(sentiments).set_title("Analyzing Sentiments of Tweets - Polarity")
# !pip install -U spacy
# !python -m spacy download en_core_web_sm
import spacy
nlp = spacy.load("en_core_web_sm")
docs = nlp(" ".join(tokenised_tweets))
named_entities = {}
for entity in docs.ents:
label = entity.label_
if(named_entities.get(label) != None):
named_entities[label].append(entity.text)
else:
named_entities[label]= [entity.text]
entity_v_count = {key:len(named_entities[key]) for key in named_entities}
entity_series = pd.Series(entity_v_count).sort_values(ascending=False)
sns.barplot(y=entity_series.keys(), x=entity_series.values).set_title("Most Common Named Entities in Tweets")
from pprint import pprint
for key in entity_series.keys()[:3]:
print('*'*40)
print(key)
entity_names_count = dict(collections.Counter(named_entities[key]))
pprint(entity_names_count)
print('*'*40)
'Delivery': 1,
'Deutsch': 1,
'DevOps': 10,
'Develop Systems': 4,
'DigitaL': 4,
'DigitalMarketin': 2,
'Direference': 1,
'Dotan': 27,
'DynamoBarca': 1,
'EPUB Free >>': 1,
'EVM': 2,
'EVM &': 4,
'EachOneTeachTen': 1,
'Econometrics': 5,
'Edition https://t.co/1KziPxPlFD': 1,
'Electrostatics (Electric Force': 1,
'ElonMusk': 1,
'Epic': 1,
'Equip': 1,
'Essay': 5,
'Essaypay': 2,
'Ethereum Speed Run': 1,
'Ethical Hacking': 1,
'Exercises &': 3,
'Expanded &': 4,
'Expert Python Programming:': 2,
'Exploratory Data Analysis': 1,
'FREE': 4,
'FUN': 1,
'Facebook/IG': 3,
'Fforymau Null &': 2,
'Fix Program Install/Uninstall': 1,
'FreeAssange': 4,
'Front End Developer Internship': 2,
'FrontEndDev': 1,
'FrontendEntwickler': 3,
'Full/': 1,
'Fòraman Null &': 2,
'G &': 2,
'G/M-codes': 1,
'GAY': 1,
'GP': 1,
'GPT-3': 13,
'GUI': 4,
'Gaming Nights - Reserve': 4,
'Getting Started With Windows IoT Core': 1,
'Gipadala': 1,
'Globa': 1,
'Godiva': 1,
'Gon': 1,
'GoodMorningTwitterWorld': 1,
'Google RT': 1,
'HAH': 1,
'HAHAHAHA RT @asmakhan_345': 1,
'HAPPINESS &': 1,
'HTML': 1,
'Hackers Favourite ToolKit https://t.co/pUWJRiPgVK': 7,
'Hashing Passwords': 1,
'Hiring Medical Coders': 1,
'Holiday Camps &': 4,
'Home Medical Billing': 1,
'Hospital Coding Specialist II - Hybrid Work Schedule - Orlando': 1,
'Hotspotty': 1,
'IBM Research': 1,
'ICD10-CM n': 1,
'IG': 1,
'II': 5,
'IIoT': 12,
'IMPOSSIBLE 💀': 1,
'IMPROVE': 3,
'IP Tunnel': 7,
'IT- Industries': 1,
'ITU CODING PLUS CARANYA': 1,
'Icd10 &': 1,
'Image Privacy Protection Approach': 1,
'Insiders': 3,
'Instagram': 4,
'Install PyTorch': 3,
'IoT': 169,
'Java, La': 5,
'JavaSc': 3,
'JavaScript': 20,
'JavaScript Coding Challenge': 14,
'Javascript': 2,
'Kassav': 6,
'Keras\nExtra': 3,
'King of Amazing': 1,
'LEAKED': 6,
'LabView and Python': 1,
'Leak - Darapọ': 2,
'Leak - Join Wolf Club': 3,
'Learn': 11,
'Learn Coding Programs': 12,
'Learn Coding for FREE': 3,
'Learn DSA- Crack': 1,
'Learn Data Science : Full Course': 3,
'Learn Python': 2,
'Learn Python Programming': 1,
'Learn Python Programming\n\nLink - https://t.co/dl6aJbGDfW': 4,
'Learn Python Programming for Absolute Beginners': 4,
'Learning Python Programming': 1,
'Lego': 1,
'Lessons': 3,
'Lin': 2,
'MAU JAWABAN CODING PLS 😭 RT @JobPreference': 1,
'MCQ': 3,
'MEDICAL CODING EXAM': 1,
'MIA': 5,
'ML': 8,
'MMA': 1,
'MMDA': 1,
'Machine Learning': 2,
'Machine Learning for Beginners': 1,
'MachineLearn': 13,
'MachineLearning': 59,
'MachineLearning Concepts': 11,
'MachineLearning Neural Networks': 27,
'Madasha Null &': 2,
'MakatiTraffic RT': 1,
'MakatiTraffic RT @nadineplays: Checkout': 1,
'Maranda High School': 1,
'Maxwell': 1,
"McDonald's": 1,
'Medicaid': 1,
'Medical Coding': 1,
'Medical Coding / Medical Billing': 2,
'Medical Transcription vs Medical Coding vs': 1,
'Medical Transcription vs Medical Coding vs Medical Billing': 1,
'Medicare/Medicaid': 1,
'MegEngine': 3,
'Meme Police Is Saying': 3,
'Microsoft': 3,
'Microsoft Power Automate: Achieve': 1,
'Mississippi C': 1,
'ModelOps': 1,
'Modern Data Engineer Roadmap': 13,
'Modern Job Interview Preparation': 1,
'Moms https://t.co/sfLbvJGlsg https://t.co/xrfV9MZ2Vy RT @idalail98916215: Real-World Mathematical Optimization Problems': 1,
'Multiplatform UI Coding': 1,
'My Personal Research Into AI': 1,
'NAGAMUCHI': 2,
'NEED': 4,
'NES Maker': 1,
'NFL': 2,
'NFT': 10,
'NLP Course - @huggingface': 1,
'NOS': 1,
'NSF': 1,
'NYCpyladies': 1,
'Naadiga Wolf': 2,
'Neocortex': 2,
'Network Configuration': 7,
'New Azure OpenAI Service': 13,
'Newsletter': 1,
'NodeJS': 1,
'Null &': 31,
'OSINT': 4,
'OTS': 1,
'Object-Oriented Programming': 2,
'OnlineExa': 2,
'OnlineExams': 18,
'OpenDiary layouts &': 1,
'OpenSea': 1,
'OpenSource': 10,
'Osintgram': 4,
'PAKE TUH LAPTOP RT': 1,
'PBS': 1,
'PDF': 6,
'PHP': 13,
'PHP DEVELOPMENT': 5,
'PLF': 1,
'PMI': 1,
'POTD': 10,
'PPT': 1,
'PS': 1,
'Pair Sums': 1,
'Pasting RT @Jimmy17088546': 1,
'Pearson': 1,
'Pixel Shuffle Super Resolution': 2,
'PowerShell': 1,
'Pre/Prior Authorization': 1,
'Principal Component Analysis': 5,
'Professional &': 9,
'Programmer': 6,
'Programmers': 2,
'Project': 13,
'Project Management: Cost &': 2,
'Puzzle': 1,
'PyT': 11,
'PyTo': 6,
'PyTorch': 3,
'Python &': 2,
'Python Examples\u200a': 5,
'Python Programming for Beginners: The Ultimate Guide': 1,
'QBO Multiple Currencies': 2,
'QC': 1,
'QEMU': 1,
'QUANTUM': 4,
'Qiskit S2E2': 1,
'Quantum Computers': 1,
'Query Expressions': 1,
'Quick Med Claims Review': 1,
'Quick Study Computer': 2,
'QuickBooks Desktop': 2,
'QuickStudy Laminated Reference Guide EBOOK Download =>': 1,
'Quiz RT @okyrylchuk': 1,
'RES': 4,
'RESE': 2,
'RESEARCHP': 3,
'RNN': 3,
'RSS': 1,
'RT': 24,
'RT @4kanali': 36,
'RT @AI_Miami': 1,
'RT @ALSALHAN': 3,
'RT @ALSALHAN: Application': 1,
'RT @A_RottenApple:': 1,
'RT @ActuallyAutistc': 2,
'RT @AfrahBawazeer': 1,
'RT @Analytics_699': 11,
'RT @Angela79D841848': 1,
'RT @AustinCodez: Day': 6,
'RT @Bakari_Oj': 1,
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'RT @BenStephan8': 1,
'RT @Benisontech': 1,
'RT @BilawalBasheer': 2,
'RT @BitchLasxgna:': 1,
'RT @BitcoinUniv3RS3': 3,
'RT @BrandonSardelli:': 2,
'RT @BrianLinuxing:': 1,
'RT @BrockDyess': 7,
'RT @CaballeroGill: Nov 12th': 1,
'RT @Cartersmom04': 1,
'RT @CatherineAdenle': 10,
'RT @CatherineAdenle: Different Data Science Personality': 2,
'RT @CatherineAdenle: Infographic': 9,
'RT @ChrisRandallAr1': 1,
'RT @Cloudcrem': 1,
'RT @Clowfoe': 1,
'RT @Codecademy': 1,
'RT @CodingFlicks:': 2,
'RT @CodingFlicks: Form Design Particles Effects\n\nGet Code': 1,
'RT @CodingPseudo: Data Analysis Crash Course For Beginners (Pandas + Python': 8,
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'RT @Colon6Maurice: Mission': 2,
'RT @CompuGeniusCode': 3,
'RT @CourceFree': 14,
'RT @CourceFree: Getting Started With Windows IoT Core': 2,
'RT @CourceFree: Introduction': 2,
'RT @Crunchify': 2,
'RT @Crunchify:': 1,
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'RT @DharmendrTanwar: Good Morning': 6,
'RT @Digital70910201': 5,
'RT @DigitalAcademyy: 🐍 Python': 4,
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'RT @Doxyaxone: Artificial Intelligence Technologies': 3,
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'RT @Khulood_Almani: How We Can Teach': 1,
'RT @Khulood_Almani: Managing': 3,
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'RT @KiaRichards': 23,
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'RT @Kynsofficial: Congratulations': 4,
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