Trend Insights from Text Data
Budget: $15 – $25 AUD
I have a collection of raw text and I want a clear, data-driven picture of how key terms, themes, or keywords rise and fall over time. The goal is straightforward: deliver a concise trends analysis that highlights the patterns hidden in the text.
Scope
• Clean and preprocess the text (basic tokenization, stop-word removal, etc.).
• Extract and chart term frequencies or other relevant metrics so I can see which topics gain or lose momentum.
• Summarize the main findings in a short, jargon-free report or dashboard—whatever is fastest to understand at a glance.
I’m comfortable if you work in Python with libraries like pandas, nltk, spaCy, or similar; feel free to suggest other tools if they speed things up.
Please outline:
1. Your suggested approach.
2. Expected turnaround time for an initial trends snapshot.
3. Any sample visual or brief you can provide to confirm we’re on the same page.
The dataset is ready to share as soon as we start.
Scope
• Clean and preprocess the text (basic tokenization, stop-word removal, etc.).
• Extract and chart term frequencies or other relevant metrics so I can see which topics gain or lose momentum.
• Summarize the main findings in a short, jargon-free report or dashboard—whatever is fastest to understand at a glance.
I’m comfortable if you work in Python with libraries like pandas, nltk, spaCy, or similar; feel free to suggest other tools if they speed things up.
Please outline:
1. Your suggested approach.
2. Expected turnaround time for an initial trends snapshot.
3. Any sample visual or brief you can provide to confirm we’re on the same page.
The dataset is ready to share as soon as we start.