optimism | Optimism is Ethereum | Runtime Evironment library

I'm trying to learn about the Meteor build process to improve it's performance for my dockerized Meteor app. I'm finding that if I run meteor build build --directory --server-only twice, back to back, I get an error about not being able to parse json on the second run.

Here's the successful first run:

I need to call CutomerDashboard.js file's "toggleIsTrucated" function and "isTruncated" to CustomerNotice.js files button onClick and text change places, How can I call that?

(In this customer dashboard file I'm creating a Read function to show some extent of notice text)

I'd like to examine the Psychological Capital (a construct consisting of four dimensions, namely hope, optimism, efficacy and resiliency) of founders using computer-aided text analysis in R. So far I have pulled tweets from various users into R. The data frame contains of 2130 tweets from 5 different users in different periods. The dataframe is called before_failure. Picture of original data frame

I have then used the quanteda package to create a corpus, perfomed tokenization on it and removed redundant punctuatio/numbers/symbols:

I am trying to making a python autogenerated Email app but there is a problem when running the code the traceback error shows up but I did write the code as my mentor write it down. This is the code that I used:

I have a large table with a comments column (contains large strings of text) and a date column on which the comment was posted. I created a separate vector of keywords (we'll call this key) and I want to count how many matches there are for each day. This gets me close, however it counts matches across the entire dataset, where I need it broken down by each day. The code:

To the best of my knowledge these are all the H1 tags in index.html.

I have worked with Spacy and so far, found very intuitative and robust in NLP. I am trying to make out of text sentences search which is both ways word base as well as content type base search but so far, I would not find any solution with spacy.

I have the text like:

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.[1] Colloquially, the term "artificial intelligence" is often used to describe machines (or computers) that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving".[2]

As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect.[3] A quip in Tesler's Theorem says "AI is whatever hasn't been done yet."[4] For instance, optical character recognition is frequently excluded from things considered to be AI,[5] having become a routine technology.[6] Modern machine capabilities generally classified as AI include successfully understanding human speech,[7] competing at the highest level in strategic game systems (such as chess and Go),[8] autonomously operating cars, intelligent routing in content delivery networks, and military simulations[9].

Artificial intelligence was founded as an academic discipline in 1955, and in the years since has experienced several waves of optimism,[10][11] followed by disappointment and the loss of funding (known as an "AI winter"),[12][13] followed by new approaches, success and renewed funding.[11][14] For most of its history, AI research has been divided into sub-fields that often fail to communicate with each other.[15] These sub-fields are based on technical considerations, such as particular goals (e.g. "robotics" or "machine learning"),[16] the use of particular tools ("logic" or artificial neural networks), or deep philosophical differences.[17][18][19] Sub-fields have also been based on social factors (particular institutions or the work of particular researchers).[15]

Now, I want to extract the sentences complete in multiple with multiple words or string matching. E.g., i want to search intelligent and machine learning. and it prints all complete sentences which contain this single or both given strings.

Is there any way that importing model of spacy with spacy can sense the phrase match .. like it finds all the intelligent and machine learning containing words and print that ? and also with other option, can it also finds as with search machine learning, also suggests deep learning, artificial intelligence, pattern recognition etc?

I want to deserialize a local json file using Gson to create a recyclerview. However I get an IllegalStateException on below line.

My dataframe is of the format: