Build a Natural Language model using NLTK or equivalent tools for text classification, clustering, and similarity
Task 1.
To classify News headlines from Google RSS into each company's milestones (Automotive, Energy, Robotaxis, Insurance)
For example,
Tesla China insurance registrations listed at 3.2k in July's first week = Insurance
Tesla Robotaxis Touted Years Ago Are Nowhere to Be Found = Robotaxis
EV makers plug into Tesla's charging network = Charging Network
Task 2.
To generate a positive or negative sentiment score based on the same News headlines
How to win the job:
1. We will send you 100 news headlines with a specific list of company's milestones in CSV
2. Use your model to classify the new headlines
3. If your model has a high accuracy of classifying them, you win this job!
Hourly Range: $40.00-$60.00
Posted On: July 14, 2023 11:07 UTC Category: Machine Learning Skills:NLTK, Natural Language Processing, Machine Learning, Text Analysis, Text Analytics
Skills: NLTK, Natural Language Processing, Machine Learning, Text Analysis, Text Analytics Country: Singapore
click to apply
Project ID:
3335162
Project category:
NLTK, Natural Language Processing, Machine Learning, Text Analysis, Text Analytics
