Extract important keywords from a file in machine learning.

I already did a similar project during my internship with a reputed company. I also have good experience with NLP.

I am a Machine Learning, Python developer and have professional skills in this Artificial Intelligence, Data Mining, Data Science with working experience of 4 years in it. Also i hold a degree in computer science and have specialization in Artificial intelligence, Machine learning. I am also working to be more of a Full-Stack developer, so that means I have more experience than indicated by just my Python background. I enjoy working with passionate people who know what it is they need and where they are headed. I've worked with individual people and with organizations in teams of 3+ people from all over the world. Kindly reply me soon so we can discuss more about this. Thank you

A dedicated analyst, proficient in running successful method-oriented operations & taking initiatives for business excellence. Specialized in creating Predictive modelling of data using supervised (Machine Learning) and unsupervised learning PROFILE SUMMARY • Qualified Data Scientist with 5+ years of experience in: Data Science ~ Business Analytics ~ Analytics Consulting ~ Managerial Consulting ~ Process reengineering ~ Model Building ~ IOT analytics Technical Skills and Tools: • Machine Learning: Supervised learning (Regression/Classifications), Unsupervised learning (Clustering), Azure ML; • Artificial Intelligence: Deep Learning, Neural Network using Tensor Flow • Programming Languages: Python, R; • Visualization Tools: Tableau, PowerBL;

Hi, I can do it using supervised learning methods like NN with PHP or matlab, So I need a dataset of that letter first.

I have understood the project, It's interesting. You want to extract important information from offer later which can include Company's Name, Job Title, Date of Joining, Salary, Working Hours, Benefits Information, Agreements etc as in output. These extractions are part of Text Mining and can be done using NLP ( natural language processing ) with a lot of machine learning and regex ( a library in python ). The data can be in the unstructured format, the regex will convert it to a structured form. Looking forward for the initial discussion for your offer later, Thanks,

I am a hard worker with fast learning capability. A results-driven, customer-focused, diligent and analytical Software Engineer who strive for self-development. Strong in design and integration problem solving skills. I am team player; I have started my carrier as a trainee lowest label in the team, now I am a senior engineer, so I have experience of how to deal in team work as a team player. My Skillset: • Frameworks: Django, Flask, Mezzanine, Django REST framework. • Libraries: Requests, BeautifulSoup, South, django-allauth, celery • API (REST framework) • Database: MySql, MongoDB, Postgres, Redis • Clouding Server: Google App Engine, Amazon web Services, Heroku, Digital Ocean... • Frontend: Bootstrap3, CSS, HTML5, SASS, LESS • Facebook API, Google API, Twitter API, LinkedIn API integration etc... • SMS gateway: Twilio, Plivo • Server: AWS, EC2, S3, Apache, passenger • JS Frameworks: JQuery, Angular, React • Unix, Mac, Windows operating systems. • Hands on experience in telecom wireless, IoT industry or management consulting, solution architecture and design. • Software system design and architecture skills. • Extensive experience developing prototypes and general rapid prototyping skills. • Certifications or experience with PTC ThingWorx, GE Predix, or AWS • Use of raspberry pi in practical projects

Vast professional experience in natural language processing and data mining. High quality product output.

Hey hi, I would like to help you in this project Hope you will get back to me soon Thank you.

i have done this kind of project before and so i think i can easily develop such a model. This can be done using natural language processing, but generating the dataset will take some time. I hope i will get this project.

I can use the nltk module for feature extraction and can also provide sentiment analysis of the document as an extra feature for free :)