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Posted at 2 weeks ago
I have several thousand (36K) transcript of quarterly earnings calls, where investment analysts pose questions and managers in a firm respond.I am trying to clean up the texts to isolate as much of what the managers say as possible. One particular element that I need cleaned up are the questions analysts asked.I need python code...read more
Apply On This JobPosted at 4 months ago
A dataset of approximately a 1000 imagesText extraction using OCRMatching the text extracted to few sentences to see which sentence matches the maximum words(possibly coming up with a hybrid classification system that can do the same)
Apply On This JobPosted at 4 months ago
We have a code base in Python that calculates an NLP match score by comparing project data with all the candidate profiles on our platform. This currently takes 50-60 seconds and is using up a lot of CPU/Memory (We use PostgreSQL on AWS EB2 instance). The results of NLP processing are perfect and we do not want to change that, j...read more
Posted at 7 months ago
I have a dataset and I wanna annotate it and then measure by two standard agreement parameters: Inter-Indexer Consistency (IIC) and Cohen's Kappa, and calculate the sentiment analysis for each record.
Apply On This JobPosted at 10 months ago
A dataset of approximately a 1000 imagesText extraction using OCRMatching the text extracted to few sentences to see which sentence matches the maximum words(possibly coming up with a hybrid classification system that can do the same).
Apply On This JobPosted at 10 months ago
I have a larger corpus (-38K documents) that I am attempting to run topic models over. The problem right now is that creating a corpus via packaged solutions, like Textacy, puts too much strain on the memory for the doc-term-matrix. I believe there are more efficient solutions, perhaps collapsing each document into a Counter obj...read more
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