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Posted at 6 days ago
1. Data pre-processing - Remove Blank rows in Data, Change all the text to lower case, Word Tokenization, Remove Stop words, Remove Non-alpha text, Word Lemmatization (here have to use all the grams including bygram)2. cross-validation using traing and testing data set3. word vectorization with TFIDf 4. attribute reduction with...read more
Apply On This JobPosted at one week 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 one month ago
We are looking for an experienced artificial intelligence (AI) programmer with experience in natural language processing (NLP). We are developing software to read and understand certain features of legal documents, for example trust deeds and commercial property lease agreements. The program does not need to be able to understan...read more
Posted at one month 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
Apply On This JobPosted at 2 months ago
We are looking for an experienced artificial intelligence (AI) programmer with experience in natural language processing (NLP). We are developing software to read and understand certain features of legal documents, for example trust deeds and commercial property lease agreements. The program does not need to be able to understan...read more
Posted at 7 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 7 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 10 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.
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