Natural Language Processing Jobs

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Hourly - Expert ($$$) - Est. Time: 3 to 6 months, Less than 10 hrs/week - Posted
Hi I’m looking for some one that i can knows how to build bots for marketing and shopping with natural language and AI please make sure you have some examples before submitting my main focus would be is to get on to the facebook messenger and IOS10 platform first This will be an full time ongoing high paid gig if I feel we have a great working chemistry after a few months​ coding and assisting in a/b split testing AI bots​ natural language, AI, Coding experience and facebook messenger
Skills: Natural language processing Artificial Intelligence ICD Coding Machine learning
Fixed-Price - Intermediate ($$) - Est. Budget: $50 - Posted
Chatbot Project Knowing what to say is not always easy - especially if you're a chatbot. Generating answers from scratch is very difficult and would most likely result in nonsense or worse - but definitely not a pleasant user experience. Therefore we're taking one step back and instead provide the correct replies which now "only" have to be chosen in the right dialog context. In this project you're given a dataset with fictional dialogs (adapted from [1]) from which one reply is missing and additionally a list with all missing replies. Your task is to map all missing replies to the correct conversation. Dataset The dataset consists of 4 files: train_dialog.txt and test_dialog.txt each contain the conversations. The format is always c##### indicating the conversation number separated by +++$+++ from the reply text. For example one conversation from the training set is the following: c03253 +++$+++ Wow! This is like my dream room! Are these all records! c03253 +++$+++ I have about fifteen hundred 78s at this point. I've tried to pare down my collection to the essential... c03253 +++$+++ God, look at this poster! I can't believe this room! You're the luckiest guy in the world! I'd kill to have stuff like this! c03253 +++$+++ Please... go ahead and kill me! This stuff doesn't make you happy, believe me. c03253 +++$+++ You think it's healthy to obsessively collect things? You can't connect with other people so you fill your life with stuff... I'm just like all the rest of these pathetic collector losers. All original conversations are at least four lines long and always the second to last line is missing in the dialogs. The missing replies are found in the files train_missing.txt and test_missing.txt respectively. For the training dialogs, the conversation number is given with the reply as in the dialog files, e.g. the missing line to the above conversation would be c03253 +++$+++ Oh, come on! What are you talking about? The missing lines for the test dialogs always have c00000 as the conversation number but are otherwise formatted the same as the training file. While some of the short replies might be the same, every missing reply belongs to exactly one conversation. Task Your task is now to take the missing test replies and map them to the corresponding dialogs. More specifically you should write a script which can be called with the path to a file with the incomplete dialogs and the path to the missing replies and then outputs a file test_missing_with_predictions.txt in the same format as test_missing.txt only with actual conversation numbers from test_dialog.txt instead of c00000. You can chose whatever approach you want to solve the task, we only ask you to please write your code in Python 2.7 and if you use any external libraries provide a requirements.txt file from which these libraries can be installed with pip install -r requirements.txt (you might want to use a virtual environment and when you're done call pip freeze > requirements.txt). While it is okay to use other resources such as pretrained word embeddings to solve the task, we ask you not to train your algorithm using the original conversations provided with [1] as this would lead to overfitting, i.e. considered cheating. You should turn in all the code required to solve the task, i.e. which allows us to create the test_missing_with_predictions.txt file from the file without labels. Besides the accuracy of the predicted conversation labels we will also evaluate your code with respect to efficiency, maintainability, and readability (it might not hurt to have a look at some style guides). In addition to the code which solves the task please turn in a text file or pdf with answers to the following questions: Describe your approach. Which methods did you chose and why? How do you evaluate your performance? Where are the weaknesses of your approach? What has to be considered when applying an approach like this in practice?
Skills: Natural language processing Artificial Intelligence Data mining Data Science
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
Need someone with: i) natural lanaguage skills, to parse Dates (i. start/end dates, ii. ongoing (eg "daily", "Mon -Fri") iii. enddate eg "valid till") from datafield (Text) in Excel sheet or database; and ii) computer vision skills , to parse Price information in an Image (via hyperlink) Python script: * need reliable, robost parsing for multiple Date text permutations. ** to be added into python script uploading data into Postgresql *** urgent turnaround required
Skills: Natural language processing Artificial Intelligence Python Python Numpy
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
This is a remote FREELANCE and PART-TIME position. Project Objective We are seeking to design, "tune" and deploy a ChatBot that is focused on providing support for software best practices, goal achievement, and behavior/habit reinforcement advice to employees of large companies. Coaching advice will cover the following domains: Software Design/Development/Deployment Practices (Lean Start-Up, UX, Agile, Lean, Continuous Integration, Micro-Services, etc.) Cognitive Thinking / Problem Solving Techniques Goal Achievement and Alignment will cover the following: Helping nudge employees towards their goals Helping employees track and update progress towards goals Helping employees know when their goals are well aligned to strategic company objectives Helping employees confirm how the epics / stories in their backlog are directly relevant to company objectives Behavior/Habit Reinforcement will cover: New styles of communicating with fellow colleagues New thinking styles for collaboration Encouraging a variety of social interactions that influence corporate culture and innovation User Persona's will include: Executive Leadership Business Management Product Managers UXProject Managers Delivery Managers Software Engineers Testers, and Ops engineers Technical Skill Requirements A HUGE PLUS is if you are AI experience and in particular, SOME knowledge of tuning and deploying ChatBots exploiting IBM's Watson API Service You MUST be VERY knowledgeable about the various ChatBot opensource frameworks including the pros/cons of each. You MUST have demonstrated experience having previously and successfully designed, tuned, and deployed chatbots You MUST have the technical skill required to design/build/deploy chatbots in one or more popular chatbot fraeworks Lastly, you MUST be knowledgeable regarding the human/UX/Phsychology patterns of ChatBot conversational Design
Skills: Natural language processing Machine learning
Fixed-Price - Expert ($$$) - Est. Budget: $550 - Posted
I need a developer proficient in Machine Learning and Javascript to extend an existing market research tool. The current code is written in front end Javascript, but the additional features will probably require server side scripting in a language of your choice. The existing product takes a list of search terms as input, and provides various stats about the results of those searches as output. I need you to add the option to specify an existing listing and provide the likelihood that it would be included in the top x results of each of the searches if the search keywords were added to it. An additional feature that might be useful is to suggest which parts of the listing should be changed to rank better. Please review the existing product and code at and tell me what dimensions you would use for your prediction model, what language and what library(s) you would use. A few examples of what I am looking for are here: 25 Seconds: UPDATE***** I created this video a while ago that shows how the predictive ranking works on another tool. I would recommend watching from minute: 16- to minute 21, please do not watch the whole 30 min video unless you want to go to sleep :) Please specify what technologies you will you use. The goal is to aim for a 90% accuracy at the Minimum. I would also like to be able to tell store owners an estimate of how long it would take for them to reach the top 20. The predicability tool should do this: " Give a probability of reaching top of 20 for a keyword or keywords percentage wise. Example: "blue gems" 85% chance.
Skills: Natural language processing AJAX JavaScript Machine learning
Hourly - Expert ($$$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
We are looking for an experienced data scientist that can help bring meaning and make business decisions, and locate/patterns and trends based on data/analytics from various clients who are trying to optimize and improve their email marketing campaigns. Our clients are using ESP's including SalesForce Marketing Cloud (SFMC), and other enterprise ESP's, so knowledge of some or all of these is preferable. You should have statistical, mathematical, predictive modelling as well as business strategy skills to build any necessary algorithms. You should also have experience in: Natural Language Processing, Machine learning, Conceptual modelling, Statistical analysis, and Hypothesis testing.
Skills: Natural language processing Big Data Data Analytics Data Science