Find Top K Frequent Words In A Big Word Stream

Find Top K Frequent Words In A Big Word Stream

By : Nanda
Date : October 18 2020, 06:10 AM
will help you You can use trie. And store number of occurrences so far.
The following tree corresponds to the following input:
code :

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How to find the most frequent word in a word stream?

How to find the most frequent word in a word stream?

By : Stewart Itopia
Date : March 29 2020, 07:55 AM
will help you For completeness, implementation in Java of the algorithm presented in the duplicate I pointed at, applied to an example:
code :
public static void main(String[] args) throws InterruptedException {
    List<String> list = Arrays.asList("a", "b", "c", "a", "d", "e", "a", "a", "b", "b", "a");
    int counter = 0;
    String mostFrequentWord = "";
    for (String streamed : list) {
        if (streamed.equals(mostFrequentWord)) {
        } else if (counter == 0) {
            mostFrequentWord = streamed;
            counter = 1;
        } else {
How to find the most frequent words before and after a given word in a given text in python?

How to find the most frequent words before and after a given word in a given text in python?

By : Mike
Date : March 29 2020, 07:55 AM
With these it helps I have a big text and I am trying to get most frequently word occurrences before and after a given word in this text. , Are you looking for something like this?
code :
text = """
A lake is a body of relatively still water of considerable size, localized in a basin, that is surrounded by land apart from a river, stream, or other form of moving water that serves to feed or drain the lake. Lakes are inland and not part of the ocean and therefore are distinct from lagoons, and are larger and deeper than ponds.[1][2] Lakes can be contrasted with rivers or streams, which are usually flowing. However most lakes are fed and drained by rivers and streams.
Natural lakes are generally found in mountainous areas, rift zones, and areas with ongoing glaciation. Other lakes are found in endorheic basins or along the courses of mature rivers. In some parts of the world there are many lakes because of chaotic drainage patterns left over from the last Ice Age. All lakes are temporary over geologic time scales, as they will slowly fill in with sediments or spill out of the basin containing them.
Many lakes are artificial and are constructed for industrial or agricultural use, for hydro-electric power generation or domestic water supply, or for aesthetic or recreational purposes.
Etymology, meaning, and usage of "lake"[edit]
Oeschinen Lake in the Swiss Alps
Lake Tahoe on the border of California and Nevada
The Caspian Sea is either the world's largest lake or a full-fledged sea.[3]
The word lake comes from Middle English lake ("lake, pond, waterway"), from Old English lacu ("pond, pool, stream"), from Proto-Germanic *lakō ("pond, ditch, slow moving stream"), from the Proto-Indo-European root *leǵ- ("to leak, drain"). Cognates include Dutch laak ("lake, pond, ditch"), Middle Low German lāke ("water pooled in a riverbed, puddle"), German Lache ("pool, puddle"), and Icelandic lækur ("slow flowing stream"). Also related are the English words leak and leach.
There is considerable uncertainty about defining the difference between lakes and ponds, and no current internationally accepted definition of either term across scientific disciplines or political boundaries exists.[4] For example, limnologists have defined lakes as water bodies which are simply a larger version of a pond, which can have wave action on the shoreline or where wind-induced turbulence plays a major role in mixing the water column. None of these definitions completely excludes ponds and all are difficult to measure. For this reason there has been increasing use made of simple size-based definitions to separate ponds and lakes. One definition of lake is a body of water of 2 hectares (5 acres) or more in area;[5]:331[6] however, others[who?] have defined lakes as waterbodies of 5 hectares (12 acres) and above,[citation needed] or 8 hectares (20 acres) and above[citation needed] (see also the definition of "pond"). Charles Elton, one of the founders of ecology, regarded lakes as waterbodies of 40 hectares (99 acres) or more.[7] The term lake is also used to describe a feature such as Lake Eyre, which is a dry basin most of the time but may become filled under seasonal conditions of heavy rainfall. In common usage many lakes bear names ending with the word pond, and a lesser number of names ending with lake are in quasi-technical fact, ponds. One textbook illustrates this point with the following: "In Newfoundland, for example, almost every lake is called a pond, whereas in Wisconsin, almost every pond is called a lake."[8]
One hydrology book proposes to define it as a body of water with the following five chacteristics:[4]
it partially or totally fills one or several basins connected by straits[4]
has essentially the same water level in all parts (except for relatively short-lived variations caused by wind, varying ice cover, large inflows, etc.)[4]
it does not have regular intrusion of sea water[4]
a considerable portion of the sediment suspended in the water is captured by the basins (for this to happen they need to have a sufficiently small inflow-to-volume ratio)[4]
the area measured at the mean water level exceeds an arbitrarily chosen threshold (for instance, one hectare)[4]
With the exception of the sea water intrusion criterion, the other ones have been accepted or elaborated upon by other hydrology publications.[9][10]

from nltk import bigrams

bgs = bigrams(text)
lake_bgs = filter(lambda item: item[0] == 'lake', bgs)

from collections import Counter
c = Counter(map(lambda item: item[1], lake_bgs))
print c.most_common()
[('is', 4), ('("lake,', 1), ('or', 1), ('comes', 1), ('are', 1)]
from nltk import trigrams

tgs = trigrams(text)
lake_tgs = filter(lambda item: item[1] == 'lake', tgs)

from collections import Counter

before_lake = map(lambda item: item[0], lake_tgs)
after_lake = map(lambda item: item[2], lake_tgs)

c = Counter(before_lake + after_lake)
print c.most_common()
Find the most frequent word over the latest K words

Find the most frequent word over the latest K words

By : user2469586
Date : March 29 2020, 07:55 AM
To fix this issue I was trying to solve this problem: , Following may help:
code :
class Counter
    Counter(std::size_t size) : max_size(size) {}

    void AddWord(const std::string& word)
        if (words.size() == max_size) {
            auto it = counts.find(words.front());
            if (it->second == 0) {

    const std::pair<const std::string, std::size_t>& getMax() const
        return *std::max_element(counts.begin(), counts.end(),
        [](const std::pair<const std::string, std::size_t>& lhs, const std::pair<const std::string, std::size_t>& rhs)
            return std::tie(lhs.second, rhs.first) < std::tie(rhs.second, lhs.first);

    std::size_t max_size;
    std::queue<std::string> words;
    std::map<std::string, std::size_t> counts;
Find top k frequent words in real time data stream

Find top k frequent words in real time data stream

By : user1602117
Date : March 29 2020, 07:55 AM
hope this fix your issue I am trying to solve an algorithms problem using java tree set. , Our first clue is that case:
code :
The Most Efficient Way To Find Top K Frequent Words In A Big Word Sequence

The Most Efficient Way To Find Top K Frequent Words In A Big Word Sequence

By : user3738808
Date : March 29 2020, 07:55 AM
With these it helps Input: A positive integer K and a big text. The text can actually be viewed as word sequence. So we don't have to worry about how to break down it into word sequence. , This can be done in O(n) time
Solution 1:
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