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1 | | -# ClearFeelings |
| 1 | +# ClearFeelings 😊✈️ |
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| 3 | +ClearFeelings is a sentiment analysis project that utilizes logistic regression to analyze sentiments in the Twitter Airline Sentiment dataset. The project aims to provide insights into the sentiments expressed towards various airlines on Twitter. |
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4 | | -🚀 Passionate AI Enthusiast & Software Engineer 🤖 |
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6 | | -Master's in Computer Applications 🎓 | Published IEEE Researcher 📚 | Java & JavaScript Developer 💻 |
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8 | | -🔍 Specialized in Data Mining, Machine Learning, and Statistics 📊 | Researching the Future of AI & NLP 🌐 |
| 7 | +#Technologies Used 🛠️ |
| 8 | +1. Python 🐍: <br> |
| 9 | +Python is a high-level, versatile programming language commonly used in data analysis, machine learning, and web development. It's chosen for its ease of use and extensive libraries for various tasks.<br> |
| 10 | +2. Logistic Regression 📈:<br> |
| 11 | +Logistic regression is a statistical method used for modeling the probability of binary outcomes. In sentiment analysis, it's often used to classify text into positive or negative sentiments based on input features.<br> |
| 12 | +3. LIME 🧠:<br> |
| 13 | +LIME, short for Local Interpretable Model-agnostic Explanations, is a technique used to explain the predictions of machine learning models. It provides local interpretations for individual predictions, helping to understand why a model made a particular decision.<br> |
| 14 | +4. Jupyter Notebook 📓:<br> |
| 15 | +Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's widely used in data analysis and machine learning workflows due to its interactive nature.<br> |
| 16 | +5. Matplotlib 📊:<br> |
| 17 | +Matplotlib is a plotting library for Python that provides a MATLAB-like interface for creating a variety of plots and charts. It's used for visualizing data and model outputs in ClearFeelings.<br> |
| 18 | +6. Seaborn 🌊:<br> |
| 19 | +Seaborn is a Python data visualization library based on Matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. Seaborn is used alongside Matplotlib to enhance the visualizations in ClearFeelings.<br> |
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10 | | -📈 Transforming Ideas into Code | Building Intelligent Solutions 🛠️ | GitHub Explorer 🚀 |
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12 | | -Let's collaborate and innovate in the world of Artificial Intelligence! |
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14 | | -🤝✨ #CodeAdventurer #AIExplorer #ResearcherAtHeart #NLPWizard |
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16 | | -✨ #AIExplorer #CodeAdventurer #NLPWizard #TechInnovator |
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20 | | -About Me 🚀 |
21 | | -Hey there! I'm a tech enthusiast with a master's degree in Computer Application, constantly pushing the boundaries of what's possible in the digital realm. My passion lies in unraveling the mysteries of technology, and I thrive on transforming complex problems into elegant solutions. |
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23 | | -Interests 💡 |
24 | | -I have a fervor for cutting-edge technologies, with a particular focus on Machine Learning, Natural Language Processing, Data Mining, and Statistics. Exploring the intersections of these fields fuels my curiosity and drives my quest for innovation. |
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26 | | -Skills 🌐 |
27 | | -I am well-versed in the intricacies of coding and have honed my skills in various technologies. My toolkit includes proficiency in Git, the dynamic version control system, where I sculpt my code masterpieces. I believe in turning every line of code into a work of art. |
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29 | | -Publications 📝 |
30 | | -My journey includes contributing valuable insights to the tech community. I've had the privilege of publishing a paper on groundbreaking algorithms in the esteemed IEEE, offering a glimpse into the future of computational intelligence. |
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32 | | -Join me on this exhilarating tech adventure, where every commit is a step towards a brighter, smarter future. Let's redefine the boundaries of tech innovation together! 🌟💻 #TechExplorer #CodeArtisan #InnovationJunkie |
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43 | | - |
44 | | -About Me 🚀 |
45 | | -Ahoy, fellow techonauts! I'm the chief code juggler, armed with a master's in Computer Application and an insatiable appetite for turning tech challenges into digital poetry. Think of me as the Sherlock Holmes of coding, but with a better sense of humor. |
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47 | | -Interests 💡 |
48 | | -I'm not just into tech; I'm into the tech that makes you go, "Whoa, that's cool!" Machine Learning, Natural Language Processing, Data Mining – it's not just a hobby; it's my way of proving that geeks can have a sense of style. |
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50 | | -Skills 🌐 |
51 | | -In the vast coding universe, Git is my trusty lightsaber. Every commit is a dance move, and every line of code is a witty punchline. Join me in this stand-up comedy club for coders, where bugs are just unexpected punchlines. |
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53 | | -Publications 📝 |
54 | | -Ever heard of a laugh-out-loud IEEE paper? Well, you're about to! My paper on mind-bending algorithms is not just a page-turner; it's a comedy special in the world of academia. |
55 | | - |
56 | | -Embark on this hilarious tech journey with me, where each line of code is a punchline, and innovation is the best joke of all! 🌟💻 #CodeJester #TechComedian #LaughingInnovation |
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61 | | - |
62 | | -About Me 🚀 |
63 | | -Greetings, fellow pioneers of the digital frontier! I am an alchemist of algorithms, armed with a master's in Computer Application and a profound commitment to decoding the intricate dance between data and innovation. My journey involves navigating the labyrinth of technology, seeking profound insights that redefine the very essence of computational possibilities. |
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65 | | -Interests 💡 |
66 | | -Immersed in the scholarly realms, my interests delve into the cutting edges of Machine Learning, Natural Language Processing, Data Mining, and Statistics. Each exploration is a meticulous quest to unravel the mysteries of these disciplines, uncovering the hidden patterns that lay the groundwork for transformative breakthroughs. |
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68 | | -Skills 🌐 |
69 | | -In the vast tapestry of coding intricacies, Git serves as my virtuoso instrument. Every commit is a deliberate note in the symphony of research, meticulously harmonizing data and methodology. Join me in this research endeavor, where the elegance of code echoes the precision of a scientific inquiry. |
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71 | | -Publications 📝 |
72 | | -My contribution extends beyond code, resonating within the hallowed pages of IEEE. A published paper stands testament to my commitment to advancing computational intelligence, offering a nuanced exploration of groundbreaking algorithms that promise to redefine the landscape of technological innovation. |
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74 | | -Embark on this research odyssey with me, where each line of code is a hypothesis and every innovation is a meticulously crafted conclusion. 🌟💻 #ResearchMaven #AlgorithmAlchemy #InnovationScholar |
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79 | | -"Data Science: Where nerdy meets wordy! 🤓📊 Get ready to party with Natural Language Processing (NLP) and Machine Learning (ML) - it's the data disco you never knew you needed! 🎉 Unleash algorithms that speak the language of data, making spreadsheets jealous and pie charts blush. Forget crystal balls, let's predict the future with a sprinkle of machine wit and a dash of linguistic charm. It's not just code, it's a comedy of data errors waiting to happen – welcome to the Data Science stand-up, where laughter is the best algorithm! 😂✨ #DataHumor #NLPandMLShenanigans" |
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84 | | -"Data Science: The convergence of analytical prowess and linguistic finesse! 🤓📊 Embark on a scholarly journey exploring the intricacies of Natural Language Processing (NLP) and Machine Learning (ML) - an intellectual soiree unraveling the tapestry of data. Unleash algorithms that fluently converse in the language of statistics, transforming raw data into insightful narratives. Depart from traditional forecasting methods; venture into the realm of predictive analytics, where computational precision meets linguistic sophistication. This academic odyssey transcends mere coding, fostering a nuanced appreciation for the seamless integration of data-driven insights. Welcome to the realm of Data Science, where methodical rigor meets the eloquence of algorithms! 🎓✨ #DataAcademia #NLPandMLExploration" |
| 21 | +# Project Overview 🚀 |
| 22 | +ClearFeelings employs logistic regression to classify sentiments expressed in tweets regarding airline experiences. The sentiment analysis model is trained on the Twitter Airline Sentiment dataset, allowing users to understand the overall sentiment trends towards different airlines.<br> |
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| 26 | +# Features 🌟 |
| 27 | +Utilizes logistic regression for sentiment analysis.<br> |
| 28 | +Provides interpretability using LIME to explain model predictions.<br> |
| 29 | +Visualizes findings using Seaborn and Matplotlib for clear insights.<br> |
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| 31 | +# How to Use 📝 |
| 32 | +1. Clone the Repository |
| 33 | +2. Install Dependencies |
| 34 | +3. Run the Jupyter Notebook |
| 35 | +4. Follow the Notebook Instructions: |
| 36 | +5. Load the Twitter Airline Sentiment dataset. |
| 37 | + Preprocess the data. |
| 38 | + Train the logistic regression model. |
| 39 | + Visualize the findings using Seaborn and Matplotlib. |
| 40 | + Explain model predictions using LIME. |
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| 42 | +# Output 📊 |
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| 45 | +# Feel free to reach out with any questions or suggestions! 📧 |
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