Programmers, beware? Times are about to change.
We need chatbot working under these scenarios [url removed, login to view] . So it will be combination of decision tree and intelligent chatbot. Please, answer the following questions in your applications or cover letters: 1. Will the architecture of your solution be flexible enough to let us add our own intent recognition logic available through API endpoint (or smth 3rd party like DialogFlow etc)? 2. How much money and time will it take to create the chatbot fitting our requirements? 3. Will I get all sources of the chatbot? 4. Can the chatbot be create as standalone solution, however afterwards easily transferred to Fb Messenger? 5. What platform (programming environment, 3rd party solutions etc) will be used to create the chatbot for my case? 6. Where can I try chatbots (or their demos) you have already created?
In this work, we are trying to find Social Sub-Synchrony in the data fetched from the Twitter related to some topic. Along with that we are also trying to compare two topics(or hashtags) using their corresponding sub-topics. Social synchrony is a phenomenon where many people do a similar action in a collaborative manner over a short period of time(number of unique users increases and then decreases exponentially).Sub-synchrony is synchrony within a synchrony.
Jobs Classification/ Clustering Program I need to design and architect a program that will take job titles and find similar job titles for them. Inputs will be job titles scrapped from job portals and o*net data. Someone with experience in building a job portal or using o*net data will be a good candidate for this job.
Create a code to build English sentences using minimal keywords(noun/verb) provided as input. It should give all possible utterances out of the given keyword. It should be grammatically understood or correct. If it is not possible to get 100% accuracy , please dont bid.
We are looking to hire an NLP expert (natural language processing) to build a Twitter trend detection algorithm for us. The algo will work locally to detect trends just like trending topics on twitter. This is not a bit This is what we CURRENTLY already do, so you do not need to do any of this work.. 1) We currently pull 500K Tweets per day via the GNIP powertrack 2) We process those tweets on rackspace cloud server 3) We store those Tweets in MYSQL databases We need an algorithm/system/app/API that we can run batch process on our Tweets every 6 or 12 hours to detect trending topics. We would like to detect hashtags, cashtags, keywords, phrases, volume, users etc etc from the tweets. Look at [url removed, login to view] trends and that is exactly what we need but we need it local on our servers. In your proposal please describe in detail your NLP expertise and how you would accomplish this task. We do have some github repos with example code to start with.
Wij van Quick inc. Zijn op dit moment bezig met een online school tool. Voorzowel het basis als voortgezet onderwijs. We zoeken hiervoor iemand die een wordpress plugin kan maken waar alles in zit wat we nodig hebben en het er mooi uitziet. Als een dashboard. volledige lijst van de functionaliteiten krijgt u als u bent aangenomen. De funcites lijken op die van de learndash plugin. Maar dan nog meer uitgebreid.
Students are now-a-days increasingly turning to online texts to supplement classroom material. However, these texts don't come with the review questions which are crucial in reinforcing one's concept and crafting them themselves can be extremely time consuming for both teachers as well student. By automatically generating questions, the project will be able to make learning and teaching process efficient for students and teachers. In long run, this software would represent a step towards automatically creating mini-courses from any online text.
As a pilot project we are developing a Chatbot for our Mobile App (iOs and Android). The bot that we want to develop is to provide user the ease of interacting with the IoT based database, wherein, through a simple conversation, we want user to enter their login information and for new user, we want the user to register by answering series of sequential questions. There are more features we wish to develop. The objective of this pilot project will be to create a conversational bot model trained through neural networks and applied to an existing functionality within a company application. The bot should have a conversation with the users and get information about each of their answers to later be able to perform calculations. A conversational chatbot is being carried out using deep learning algorithms using tensorflow. The models will be executed in our native mobile application. Essential knowledge in natural language processing with Tensorflow.
I need a freelancer to develop a C # DLL that converts a curriculum into C # classes. The user sends their curriculum in .doc, .pdf or txt format and the system must identify the fields and add in the classes person, experience, courses, skills, languages ... I need the source code developed and that NLP is used because the curricula do not have a standard. I accept budget in other programming languages. The resource will be used on the WEB!
Hi, I require a python based matching CV and JD parsing and matching algorithm. So basically, this algorithm will ask a user to submit CVs and Job Descriptions. The inputs would comprise of a resume and n number of job orders. The output will be in the form of - 1. Parsed Job Description JSON 2. Parsed CV JSON 3. Absolute Matching scores for each resume against each Job Order and vice versa. 4. Absolute matching scores for each job order against each resume Please let me know if you have worked on a similar project? Also, which libraries would you be able to re-use. I require you to to provide me the following - 1. Your methodology to go about this project 2. What would you require from me 3. What would be a good time frame for this project I have a dataset of approx. 25000+ Job Orders and 3000+ resumes, all unstructured. This is an accuracy linked project. Would be keen on hearing how you would be maximising the accuracy of the matches.
We have a bunch of CVs which we will share with you along with a template with headers where the extracted details need to be published. You will need to use Python to code the algorithm and use NLP to read the resume and extract the details as per the template shared.
Hi, I require someone to build a python based matching CV and JD parsing and matching algorithm. So basically, this algorithm will ask a user to submit CVs and Job Descriptions. The inputs would comprise of : 1. n number of CVs 2. m number of JDs (Job Descriptions) The output will be in the form of - 1. Parsed Job Description JSON 2. Parsed CV JSON 3. Absolute Matching scores for each CV against each Job Order and vice versa. 4. Abolute matching scores for each job order against each CV Please let me know if you have worked on a similar project? Also, which libraries would you be able to re-use. I require you to to provide me the following - 1. Your methodology to go about this project 2. What would you require from me 3. What would be a good time frame for this project
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This article talks about hand gestures that can help you make a good impression, whether you are presenting an idea or speaking up at a meeting.
What makes your content attractive? How to create a lasting impact on prospective clients? Your hands can weave magic through words. Read on for more.