Text classification model/script to determine whether a given text is about something

I am a data scientist proficient in machine learning and web scrapping. My expertise in Python and R have comes from my experience in Natural Language processing, statistical analysis, web scraping etc. I also have a strong background of theoretical statistics and mathematics. I am good at the following: - Deep learning for natural language processing including used of RNN, CNN etc. - Web scraping using python, requests, selenium etc. - Statistical Modelling using R and python

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Text Classification Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Please visit : https://www.freelancer.com/u/schoudhary1553 I have excellent command over English. I am a hard worker, productive and worthy of your attention I hope, I would be the right candidate for this post. Awaiting an affirmative response from you. Kinds Regards, Sandeep

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, deep learning, AI, NLP, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hello, I have read the project description and I feel confident that I can accomplish this text classification task, specially that I have worked on similar tasks before like tweets classification. Looking forward to talking to you to discuss more details! Thanks

I have already realized a project like this, I got 97% accuracy,I can do what you need...................................................

Hello sir. I'm excited about your project, because I've really rich experience in Text Classification Programming. I've developed many projects similar to yours and excellent skills. If you award me, I'll provide wonderful result on time. Your further response will be greatly welcome. Regards.

I will use spacy in conjunction with scikit-learn in python, to create and train a model, whilst leveraging pipelines for reproducibility, n-grams and lemmatization, td-idf, where necessary, among others. We can refine the approach based on your specific requirements. Looking forward to working through this with you

Hello. I myself is an AI expert since 5 years and have a solution for your requirement. It can be acheived by Google Cloud Vision OCR API. We can retrieve the text using this API and train our model in either python or java. You can contact me for further.

Since this is a supervised machine learning task, this text classification can be done in following manner: 1. Prepare the dataset with input and labels 2. Do some feature engineering like create word embedding (word2vec), create some extra features 3. Create a classification deep learning model to train our network 4. Test the accuracy on validation dataset and then improve using hyper parameter fine tuning. Further discussion can be done over chat. Thanks

We have already done a similar project to performs text classification on input text, and its successfully working for a marketplace project which is under construction. if you are awarding this task to me , me and my team can get the task finished with in 3 days, as we have codes ready with us. we need to check with the data set and language. i wish if we can chat more about this task, then it would be great.

I am an AI Engineer currently working at a Healthcare firm. I have good experiance with NLP and text classification/summarization. I can complete this project within 5 days. I will be able to complete this early to as per your demand. Further discussion can be done in chat. Thanks!

Hello, I am pleasure with your job for Text classification model/script to determine whether a given text is about something. Thank you for the job posting. It’s a pleasure to meet you. I’d really like to work with you on this one if possible! I do have a couple of questions, but first I’d like to make you an offer and some background so you can check my work out. I have been developing kind of project within 10+ years so I’m fluent experience to handle project. You’ll get all the expected stuff like a great professional service and a fast turnaround, at a bit less, and I get a bit more exposure. If the above offer sounds like something you would be interested in, I’d love to hear from you.

Hi Currently I am working as Data Scientist.I have done multiple projects.I have read project details and I think this is related to NLP, in which using wordcloud we can highlight the text which is most frequent in .a corpus. Moreover, after this using feature engineering(either TFIDF or Bag of words) we can classify text by applying machine learning classification algorithms like logistic regression, decision tree, random forest etc. which ever would be suitable. Thanks Prachi

Hi, I am interested in your project. I have been an export in this field for 5+ years, and have full experience in AI/ML and NLP. Waiting for your positive response ! Best Regards, Jin

I have read your problem and it can be solved through natural language processing and i have great experience in text classification.

I have experience in implementing ML and DL models using tenserflow, keras and scikit-learn. I have completed many projects. Some of these are as: 1. Human Activity Recognition (HAR) :- I have tried three models Support Vector Machines (SVM), K-Nearest Neighbors (k-NN) and Convolutional Neural Network (CNN) to classify six activities(Walking ,Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying). The most accurate model tried is SVM with accuracy of 98.47%. 2. Brain Computer Interface(BCI) with the P300 Speller which aims for helping patients incapable to activate muscles to spell words by methods for their brain signal activities. The first classification is to identify the presence of a P300 in the electroencephalogram(EEG). The second classification is the combination of various P300 response for deciding the correct character to spell. 3. Handwritten Digit Recognition using CNN :- Implemented a CNN model using tenserflow to identify handwritten digits from the MNIST dataset. I will first discuss problem statement and your requirement properly and then I will propose an approach and estimated outcomes with you and if you will agree with that then I will code that and complete it. Your requirement and statisfaction will be my first priority. Looking forward to hearing from you. Thank You.

Hi there, I would like to express my interest to your project. I worked on a similar project of text classification using the convolutional neural network. Please contact me for further discussion. Thanks for your interest. Best regards.