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Saya memiliki kumpulan data berbentuk teks dan memerlukan bantuan untuk menjalankan proses analisisnya. Fokus utama pekerjaan ini adalah: • Menyusun alur analisis yang efisien—mulai dari membaca data mentah, mengidentifikasi metrik penting (frekuensi kata, kemunculan frasa, sentimen, atau topik), hingga merangkum temuan dalam format yang mudah dipahami. • Menghasilkan laporan singkat yang menyajikan hasil analisis lengkap dengan grafik atau tabel pendukung. • Mengotomatiskan proses tersebut dengan skrip Python, R, atau alat analitik teks lain yang Anda kuasai, sehingga alur dapat dijalankan ulang di kemudian hari hanya dengan sedikit penyesuaian. Saya terbuka terhadap pendekatan dan pustaka apa pun—NLTK, spaCy, tidytext, atau solusi serupa—selama hasilnya akurat dan terdokumentasi dengan baik. Kirimkan lamaran berisi penjelasan singkat tentang pengalaman Anda menangani proyek analisis data teks serupa. Sertakan tautan portofolio atau contoh kode bila tersedia. Saya akan memilih freelancer yang dapat menunjukkan rekam jejak analisis teks yang kuat, penjelasan metode yang jelas, dan komunikasi responsif selama proyek berlangsung.
Project ID: 40594004
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8 freelancers are bidding on average $380 USD for this job

I can help with this, Saya akan membangun pipeline Python (spaCy + pandas) untuk data teks Anda: ekstraksi frekuensi kata, deteksi frasa, analisis sentimen, dan pemodelan topik, lalu menghasilkan laporan ringkas lengkap dengan grafik dan tabel pendukung. Seluruh alur saya kemas dalam skrip modular yang terdokumentasi, sehingga Anda cukup mengganti file input untuk menjalankan ulang analisis di masa depan tanpa perubahan besar. Satu putaran revisi sudah termasuk di dalamnya. Pertanyaan: 1) Berapa perkiraan volume data teks yang akan diproses (jumlah dokumen atau baris)? 2) Apakah analisis sentimen perlu mendukung bahasa Indonesia, Inggris, atau keduanya? Kirimkan sampel kecil dari data mentah Anda, dan saya akan konfirmasi pendekatan serta estimasi waktu penyelesaian hari ini. Looking forward to talking through the details. Kamran
$282 USD in 10 days
6.2
6.2

Hello Sir/Mam Berapa perkiraan volume data teks yang perlu dianalisis? Q2- Apakah data dalam Bahasa Indonesia, Inggris, atau campuran keduanya? I am excited to offer my expertise in Data Analysis , Data processing , Machine Learning, Automation, Data Protection, Technical Support , Computer Repair, Data Management, Data Recovery to assist . With a robust background in making case studies and projects, proficiency in R, spreadsheet tools, and Tableau, Power BI , SQL , Excel , SPSS Statistics , Data Entry . I am well-prepared to support you in your Project . My ability to deliver exceptional results on time and with utmost quality . I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thank you !
$251 USD in 1 day
5.5
5.5

Hi, Aashiq here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you’re looking for a streamlined approach to analyze text data, focusing on key metrics like word frequency and sentiment. It’s great that you’re open to various tools; that flexibility can really drive results. With a background in data analysis, I’ve helped numerous clients automate processes using Python and R. I’ve successfully created tailored scripts that not only deliver insights but also ensure they’re easy to run again. I’d be happy to share samples of previous projects that highlight my capabilities. Based on what you mentioned, here is how we would approach the project: - Begin with data cleansing and preparation. - Use NLTK and spaCy to identify key metrics. - Generate visual reports with graphs and tables. - Automate the workflow for future use. You can count on clear communication and a user-focused solution that’s optimized for performance. Best Regards, Aashiq
$700 USD in 14 days
4.3
4.3

Apakah data teks Anda tersedia dalam format CSV, Excel, JSON, TXT, atau hasil ekspor database? Sekitar berapa jumlah record atau dokumen yang akan dianalisis? Saya memahami bahwa Anda ingin membangun workflow analisis teks otomatis yang dapat memproses data mentah, mengidentifikasi metrik penting seperti frekuensi kata, kemunculan frasa, analisis sentimen, dan topik, lalu menyajikan hasilnya dalam bentuk grafik, tabel, serta laporan ringkasan yang mudah dipahami. Teknologi yang akan digunakan: • Python • Pandas • NLTK / spaCy • Scikit-learn / BERTopic (jika diperlukan) • Matplotlib / Seaborn Hasil yang akan Anda terima: • Workflow analisis teks otomatis • Analisis frekuensi kata, frasa, sentimen, dan topik • Laporan visual berupa grafik dan tabel • Script Python yang terdokumentasi dengan baik untuk penggunaan di masa mendatang • Dokumentasi lengkap serta dukungan selama 1 bulan setelah proyek selesai Estimasi waktu pengerjaan:4–6 hari Saya siap memulai proyek ini segera dan dengan senang hati mendiskusikan kebutuhan analisis teks Anda lebih lanjut. Apakah Anda tersedia untuk berdiskusi?
$450 USD in 4 days
4.1
4.1

As a full-stack developer with an extensive skillset spanning from AI and automation to web development and data analytics, I am confident that I can handle your structured text data analysis project with efficiency and accuracy. My proficiency in Python, which makes for effective text analysis, together with my deep understanding of libraries such as NLTK, spaCy, tidytext (and more) suit the task at hand. Moreover, my proven experience with developing clean and maintainable code aligns well with your need for automated scripts using Python or R. Additionally, my AI expertise will also bring great value to this project. I’m skilled in NLP (Natural Language Processing) which is a significant aspect of text data analysis. Whether it's identifying keywords and phrases, sentiment analysis or topic extraction, my proficiency ensures thorough processing of your data. Furthermore, my abilities with generative AI could potentially provide you meaningful insights by analyzing the text documents on a much deeper level.
$250 USD in 7 days
3.9
3.9

As a seasoned professional with more than 9+ years of practical experience in the field of web and mobile development, I am well-equipped to handle your text data analysis. While Python is a major strength, it is not my only one; I am also proficient in other analytical tools such as R and have experience with various text analysis libraries including NLTK and spaCy to extract repetitive clauses, sentiment, or frequently used phrases. My proficiency extends not just to analyzing your data but also towards automating the entire process. I can build scripts that will enable you to repeat the analytic process with minimal customization. Notably, at the end of these processes, I summarize findings using visually appealing graphs or tables that elucidate my discoveries in an easily digestible format. To reaffirm my expertise: over my career span, I've developed solutions which have turned ideas into reality while ensuring efficacies like accurate code and comprehensive documentation are upheld. Additionally, my team's portfolio offers examples that demonstrate my coding skills and show that we leave no stone unturned when it comes to catering to our clients' requirements. With this background I pledge not just reliable technical support but also clear communication throughout the project lifecycle and a compelling persistence on punctuality in project completion. Consequently, if selected for the job, you can be confident in receiving nothing less th
$500 USD in 7 days
2.0
2.0

Jawa Barat, Indonesia
Member since Jul 2, 2026
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