CET365 Stop-of-Direction Evaluation (Beefy marks: 100) Fragment A Allotment I: (42 marks) Acknowledge all questions about this share. Social Media Analytics of Apple Inc. Apple Inc. is a global skills company illustrious for its modern hardware, instrument, and products and services, in conjunction with the iPhone, Mac, iPad, and the App Retailer. Based mostly in 1976, Apple has grown into one amongst the realm’s most beneficial and influential manufacturers, shaping the style ahead for user electronics and digital ecosystems. Prognosis of Apple MacBook In recent years, Apple has essentially transformed its MacBook lineup thru the introduction of Apple Silicon, starting with the M1 chip in 2020, followed by the M2 series. These in-dwelling processors tag Apple’s shift a ways from Intel chips, enabling the company to mix hardware and instrument extra tightly. The has been a soar in efficiency, vitality effectivity, and thermal administration — with fanless designs in some gadgets and deal extended battery existence turning into standout functions. This transition has reshaped the user skills and influenced public notion of the MacBook. The M1 and M2 chips were widely praised by shoppers and reviewers alike for offering swiftly, tranquil, and seamless computing, even in entry-stage gadgets. As Apple continues to evolve its MacBook range, figuring out how customers reply to those developments — alongside a kind of product functions be pleased pricing, connectivity, and construct — is indispensable for informing each advertising and marketing approach and product pattern. Sentiment % of Tweets Sure 52% Neutral 28% Unfavorable 20% Present 1. Sentiment Prognosis Output (Overall Sentiment Distribution): Distribution of sentiments expressed in tweets about Apple’s MacBook computer programs. Aspect Sure % Neutral % Unfavorable % Key Sentiment Phrases Battery Lifestyles 65% 20% 15% “long-lasting”, “vitality efficient”, “respectable”, Keyboard 35% 30% 35% “fragile”, “responsive”, “clicky”, “butterfly keys tranquil in actual fact feel flimsy” Present 68% 22% 10% “tantalizing”, “spirited”, “shiny” Ports / Dongles 10% 15% 75% “Why construct I tranquil need 3 dongles to plod in USB?” M1/M2 Chip 75% 15% 10% “sport-changer”, “efficient”, “tranquil” Buyer Carrier 28% 40% 32% “dull”, “precious”, “not responsive” Efficiency 70% 18% 12% “swiftly”, “highly effective”, “serene” Keep 18% 25% 57% “costly”, “overpriced”, “not price it” Present 2. Aspect-Based mostly Sentiment Prognosis (Sentiment by Key MacBook Capabilities): Sentiment breakdown by key functions of the MacBook. Entity Form Example Entities Frequency PRODUCT MacBook Air, MacBook Professional, M1 chip 120 ORG Apple, Amazon, Dell, HP, Microsoft, Intel, Most efficient Buy 75 GPE (Space) USA, Singapore, UK 60 EVENT WWDC, Dark Friday 20 PERSON Tim Cook, tech reviewers (e.g., Marques Brownlee) 15 Present 3. Named Entity Recognition (NER): Essentially the most recurrently mentioned entities in tweets. Matter Top Key phrases Inferred Theme Summary Perception 1 battery, M1, efficiency, swiftly, serene, fanless Efficiency and Battery Right user appreciation for Apple Silicon (M1/M2) chips and long-lasting battery. Considered as indispensable strengths. 2 tag, costly, value, student, top rate, price Pricing and Affordability Issues Usual arena over excessive pricing; college students and price-still customers in actual fact feel excluded. 3 ports, dongle, usb-c, hdmi, adaptors, accessories Connectivity and Dongle Frustration High frustration with the necessity for dongles due to lack of long-established ports be pleased HDMI and USB-A. 4 keyboard, butterfly, keys, repair, carrier, ache Keyboard and Reliability Factors Ongoing dissatisfaction with keyboard sturdiness (particularly the butterfly mannequin) and repair skills. 5 unboxing, fresh, construct, swish, commence, influencer Invent Attraction and Launch Pleasure Sure reactions to aesthetics, packaging, and product commence buzz, typically amplified by influencers. Present 4. Matter Modelling Output (LDA – 5 Issues Identified): Key matters discussed in tweets, identified thru LDA topic modelling. Shows 1–4 recount the findings from sentiment analysis, tell-essentially based fully fully sentiment analysis, named entity recognition (NER), and topic modelling associated to Apple’s MacBook computer programs. In step with your evaluate of these outcomes, tackle the next questions: Inquire of 1 Elaborate the final sentiment distribution in Present 1 and the tell-essentially based fully fully sentiment analysis in Present 2, to recount buyer notion of MacBooks. (6 marks) Inquire of 2 Analyse sentiment at some level of product functions to search out out which functions Apple have to emphasise or toughen. (6 marks) Inquire of 3 Entity Form Example Entities Frequency PRODUCT MacBook Air, MacBook Professional, M1 chip 120 ORG Apple, Intel, Most efficient Buy 75 GPE (Space) USA, Singapore, UK 60 EVENT WWDC, Dark Friday 20 PERSON Tim Cook, tech reviewers (e.g., Marques Brownlee) 15 Present 3. Named Entity Recognition (NER): Essentially the most recurrently mentioned entities in tweets. Scrutinize the identified named entities to evaluate the breadth of buyer conversations, in conjunction with any references to competitors or retailers. (6 marks) Inquire of 4 Matter Top Key phrases Inferred Theme Summary Perception 1 battery, M1, efficiency, swiftly, serene, fanless Efficiency and Battery Right user appreciation for Apple Silicon (M1/M2) chips and long-lasting battery. Considered as indispensable strengths. 2 tag, costly, value, student, top rate, price Pricing and Affordability Issues Usual arena over excessive pricing; college students and pricesensitive customers in actual fact feel excluded. 3 ports, dongle, usb-c, hdmi, adaptors, accessories Connectivity and Dongle Frustration High frustration with the necessity for dongles due to lack of long-established ports be pleased HDMI and USB-A. 4 keyboard, butterfly, keys, repair, carrier, ache Keyboard and Reliability Factors Ongoing dissatisfaction with keyboard sturdiness (particularly the butterfly mannequin) and repair skills. 5 unboxing, fresh, construct, swish, commence, influencer Invent Attraction and Launch Pleasure Sure reactions to aesthetics, packaging, and product commence buzz, typically amplified by influencers. Present 4. Matter Modelling Output (LDA – 5 Issues Identified): Key matters discussed in tweets, identified thru LDA topic modelling. Maintain in mind the matters extracted from tweets to infer key issues of user discussion and counsel priorities for Apple’s product pattern and advertising and marketing. (12 marks) Inquire of 5 Formulate 4 actionable advertising and marketing or product suggestions for Apple essentially based fully fully on your interpretation of the analysis outputs. (12 marks) Allotment II Matter Modelling (18 marks) Acknowledge all questions about this share. This project explores the utility of social media analytics in advertising and marketing decision-making, the utilization of Twitter files associated to Apple Inc. It’s probably you’ll presumably well perhaps presumably be required to seem at theoretical ideas and use NLTK tools to analyse a pre-gentle dataset of tweets supplied within the csv file: Apple-Twitter-Sentiment-DFE.csv. Unlike Fragment A, the records on this share changed into gathered plenty of years ago, and therefore the findings may presumably well perhaps simply not be in step with present developments. The dataset changed into obtained the utilization of the Twitter Search API, essentially based fully fully on the question: #AAPL OR @Apple. The tweets essentially focal level on financial and brand-associated mentions of Apple, in conjunction with references to its products (such because the iPhone, iPad, and iOS), stock efficiency, investor sentiment, and tech news bright the company. Inquire of 6 Apply LDA topic modelling to title certain issues emerging from the dataset. Analyse the outcomes by inspecting each the key phrases that outline each cluster and the underlying tweets (the tweets that picture the matters), in show to tag the matters and present an explanation for what they recount about user concerns or interests. Submit your work in Python the utilization of Jupyter notebook. (18 marks) Fragment B Video Presentation (28 marks) Acknowledge all questions about this share. Inquire of 7 Put together a video recording of the presentation for Fragment A – Allotment I: Prognosis of Apple MacBook (Questions 1 to 5) of no lower than 5 minutes but not exceeding 10 minutes. Consult with Canvas T/TG/RESIT course put > Assignments > ECA_VIDEO for the step-by-step manual on straightforward how one can publish the video. (28 marks) Fragment C – PowerPoint Presentation (12 marks) Acknowledge all questions about this share. Inquire of 8 Put together a space of PowerPoint presentation slides upon which the video presentation is essentially based fully fully. Please recount that the PowerPoint have to be transformed to PDF sooner than submission to Canvas. (12 marks) —– END OF ECA PAPER —– Write My Task Caught on CET365 files analysis obligations? 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